International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
Keyshield: Preventing Fake Accounts Through Locker-Based Authentication
Sathishkumar. P1, Chandrakala. S 2, Baraninishanth.P3, Gokulraj.M4, Gurukishore.T5
1Assistant Professor, Dept. of Cybersecurity, Paavai Engineering College
2Assistant Professor, Dept. of Cybersecurity, Paavai Engineering College
3Student, Dept. of Cybersecurity, Paavai Engineering College
4Student, Dept. of Cybersecurity, Paavai Engineering College
5Student, Dept. of Cybersecurity, Paavai Engineering College
Abstract -Therapidgrowthofsocial media platforms has led to a significant increase in fake and duplicate accounts, which are widely used for spam, misinformation, scams, and cyber threats. Existing systems primarily focus on detecting fake accounts after their creation, allowing malicious users to exploit platforms temporarily before being identified.This paper proposes a secure locker-based authentication system, “KeyShield,” designed to prevent fake account creation at the initial stage. The system introduces a centralized digital locker that generates a unique authentication key for each verified user based on their email and phone number. This key is mandatory for accessing social media platforms, ensuring that each individual can maintainonly a single authentic identity.By shifting from detection to prevention, the proposed system enhances security, reduces duplicate account creation, and improves trust in online platforms. The framework is scalable, efficient, and suitable for integration with modern digitalecosystems.
Key Words: Fake Account Prevention, Authentication System, Digital Locker, Unique Key Generation, Cybersecurity, Social Media Security
1. INTRODUCTION
In today’s digital world, social media platforms play a crucial role in communication, networking, and information sharing. However, the rapid growth of these platformshasalsoledtoanincreaseinfakeandduplicate accounts. These accounts are often used for malicious activities such as spreading misinformation, performing scams, and launching cyber attacks.Traditional authentication systems rely on usernames, passwords, or third-partyloginservices,whicharevulnerabletomisuse. Moreover, most existing solutions focus on detecting fake accounts only after they have been created, which allows attackers to operate temporarily and cause damage.To address this issue, this project introduces “KeyShield,” a locker-based authentication system that prevents fake accountcreationattheinitialstage.Thesystemgenerates auniqueauthenticationkeyforeachuserthroughasecure digital locker. This key acts as a mandatory credential for accessing social media platforms, ensuring that each user
maintains only one verified identity.By focusing on prevention rather than detection, the proposed system aimstoenhancesecurity,reduceduplication,andcreatea saferdigitalenvironment.
2. PRIMARY OBJECTIVES OF THE STUDY
• ATheprimaryobjectiveoftheproposedKeyShield system is to establish a secure, scalable, and preventionoriented authentication framework capableof eliminating fake and duplicate account creation in social media platforms.Unliketraditional systemsthat relyon reactive detectionmechanisms,thisapproachfocusesonenforcing identityuniquenessattheinitialstageofuserregistration.
• Akey objective is to design a centralized digital locker architecture that functions as an independent identity provider. This locker securely stores user credentials and ensures that each individual is verified using unique identifiers such as email address and phone number.Byintegratingvalidationmechanisms,thesystem guaranteesthatonlylegitimateuserscanproceedwiththe registrationprocess.
• Another critical objective is the generation of a unique authentication key for every registered user. This key acts as a secure digital identity token, which is required for accessing third-party platforms. The system enforces a strict one-user-one-key policy, thereby preventing users from creating multiple accounts using differentcredentials.
• Ensuring seamless integration with social media platforms is also an important goal. The proposed system isdesignedtofunctionsimilarlytoexistingauthentication providers, enabling easy adoption without disrupting current workflows. This enhances usability while maintaininghighsecuritystandards.
• Furthermore, the system aims to improve trust andreliabilityindigitalecosystemsbyreducingmalicious activitiessuchasspam,impersonation,andautomatedbot attacks. By combining centralized authentication with strong identity validation, the KeyShield framework aspires to create a safer and more accountable online environment.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
3. LITERATURE SURVEY
A comprehensive review of existing research reveals thattheproblemoffakeandduplicateaccountcreationin social media platforms has been widely studied using variousdetection-basedmethodologies.Theseapproaches primarily focus on identifying malicious accounts after their creation through behavioral analysis, machine learningtechniques,andidentityverificationmechanisms. While each method offers certain advantages, they also exhibit significant limitations in terms of prevention, scalability,andaccuracy.
3.1 Machine Learning-Based Fake Account Detection
A considerable body of research has explored the application of machine learning algorithms for detecting fake accounts. Techniques such as Support Vector Machines(SVM),RandomForest,andNeuralNetworksare commonlyusedtoclassifyuseraccountsbasedonfeatures like posting behavior, friend networks, and activity frequency. These models are trained on large datasets to identify patterns associated with malicious behavior.The primary advantage of this approach lies in its ability to detectcomplexand evolvingattack patterns.However, its effectivenessishighlydependentonthequalityandsizeof thetrainingdataset.Inadequateorbiaseddatacanleadto inaccurate predictions, resulting in both false positives andfalsenegatives.Moreover,thesesystemsoperateonly afteraccountcreation,allowingmalicioususerstoremain activeforacertainperiod.
3.2 Behavioral and Pattern Analysis
Another widely adopted approach involves analyzing user behavior and activity patterns to identify suspicious accounts. This includes monitoring login frequency, interaction patterns, content sharing habits, and network connections. Systems based on this methodology attempt toestablishabaselineofnormaluserbehavioranddetect deviations from this norm.While behavioral analysis is effective in identifying abnormal activities, it suffers from high computational complexity and delayed response. New accounts may not exhibit sufficient activity initially, making early detection difficult. Additionally, legitimate users with unusual behavior may be incorrectly flagged, leadingtousabilityissues.
3.3 Multi-Factor Authentication Systems
Multi-factorauthentication(MFA)hasbeenintroduced as a method to enhance account security by requiring multiple forms of verification, such as passwords, OTPs, and biometric data. This approach strengthens login security and reduces the risk of unauthorized access.However, MFA does not effectively address the issue of duplicate account creation. Users can still create multiple accounts using different credentials, as the system lacks a centralized identity verification
mechanism.Furthermore,MFAincreasesuserfrictionand mayaffectusabilityinlarge-scaleapplications.
3.4Identity Verification and Centralized Authentication
Recent studies have explored the concept of centralized identity management systems, where a single identity provider verifies users across multiple platforms. This approach aims to reduce redundancy and improve trust by ensuring consistent identity validation.Although centralized systems provide better control, many implementations rely on third-party providers such as Google or Facebook login services. These systems are not specificallydesignedtopreventfakeaccountcreationand may still allow multiple identities for a single user. Additionally, privacy concerns arise when user data is managedbyexternalentities.
3.5 Blockchain-Based Identity Systems
Emerging research has proposed blockchain-based identity verification frameworks to ensure secure and tamper-proof identity management. These systems use decentralized ledgers to store user credentials, making it difficult for attackers to manipulate identity data.Despite their strong security features, blockchain-based solutions face challenges such as high implementation cost, scalability issues, and complexity. The requirement for widespread adoption further limits their practical applicabilityincurrentsocialmediaecosystems.
4. GAP ANALYSIS
The analysis of existing literature highlights a critical gap in current approaches. Most systems focus on detecting fake accounts after their creation rather than preventing them at the source. This reactive nature allows malicious users to exploit platforms before being identified. Additionally, the absence of a strict one-user-one-identity mechanism remains a major limitation across all existing solutions.
To address these challenges, the proposed KeyShield system introduces a prevention-based approach using a locker-based authentication framework. By generating a unique authentication key for each verified user and enforcing centralized identity control, the system aims to eliminate fake account creation at its origin, thereby overcomingthelimitationsofexistingmethods.
4.1 DRAWBACKS OF EXISTING SYSTEM
Despite the implementation of various authentication and detection mechanisms, existing systems exhibit several critical limitations that affect their overall effectiveness. Oneofthemajordrawbacksistheabilityofuserstocreate multiple accounts using different email addresses or phone numbers, which leads to duplication and misuse. Additionally,mostdetectiontechniquesoperateonlyafter
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
account creation, allowing malicious users to exploit the system temporarily. Traditional password-based authentication methods remain vulnerable to cyber threats such as phishing and brute-force attacks. Furthermore, multi-factor authentication enhances login security but fails to enforce identity uniqueness. The heavy reliance on machine learning models increases computational complexity and may result in false positives, thereby affecting legitimate users and reducing systemreliability.
4.2 LIMITATIONS OF CURRENT AUTHENTICATION APPROACHES
• In addition to the general drawbacks, current authentication systems suffer from structural and architectural limitations that hinder their effectiveness in large-scaleenvironments.Oneoftheprimaryissuesisthe absence of a unified identity management system, which allows users to maintain multiple independent identities across platforms. This lack of synchronization leads to inconsistenciesandincreasestheriskofidentitymisuse.
• Another critical limitation is the reliance on decentralized verification methods, where each platform independently manages its authentication process. This results in fragmented security policies and inconsistent validation standards, making it easier for attackers to exploit weaker systems. Furthermore, existing authentication models prioritize accessibility and user convenience over strict identity enforcement, which compromisessecurity.
• Theinabilitytoenforceaone-to-onemappingbetween users and accounts remains a major challenge. Without a centralized authority to validate and control identity uniqueness, duplicate account creation becomes inevitable. These limitations highlight the need for a centralized, secure, and prevention-oriented authenticationframeworksuchastheproposedKeyShield system.
• Image-Based Obfuscation: Attackers embed malicious links or “call-to-action” text within images. This method effectively bypasses text-based scanners, as optical character recognition (OCR) is rarely, if ever, applied in realtimeatthescalerequiredforemailfilteringduetoits highcomputationalcost.
4.3 RESEARCH GAP IDENTIFICATION
Thecomprehensiveanalysisofexistingauthenticationand detectionsystemsrevealsasignificantresearchgapinthe domain of fake account prevention. Most current approachesareinherentlyreactive,focusingonidentifying malicious accounts only after they have been created and have already interacted within the system. This delayed detectionmechanismallowsattackerstoexploitplatforms during the initial phase, causing potential damage before mitigationmeasuresareapplied.
Furthermore,existingsystemslackarobustmechanismto enforce identity uniqueness. The absence of a centralized identity verification framework enables users to create multiple accounts using different credentials, leading to duplicationandmisuse.Evenadvancedsecuritymeasures suchasmulti-factorauthenticationandmachinelearningbased detection fail to address this fundamental issue, as they primarily secure access rather than prevent account creation.
Another critical gap lies in the lack of a preventionoriented architecture that integrates authentication with identity control.Current systems do not providea unified solution that ensures a one-user-one-identity model. This gap highlights the necessity for a system like KeyShield, which introduces a centralized locker-based authentication framework to eliminate fake accounts at theirorigin.
5. PROPOSED SYSTEM ARCHITECTURE: THE PHISH-STOP PIPELINE
To overcome the limitations of existing authentication mechanisms, the proposed system “KeyShield” introduces a prevention-oriented framework designed to eliminate fake and duplicate account creation at the initial stage. Unlike traditional systems that rely on post-creation detectiontechniques,thisapproachenforcesstrictidentity verification before granting access to social media platforms.Thesystemis builtarounda centralizeddigital locker that functions as an independent authentication authority, where users are required to register using verified credentials such as name, email address, and phone number. Upon successful validation, the system generatesauniqueauthenticationkeythatactsasasecure digital identity token. This key is permanently associated with the user and becomes mandatory for accessing connected platforms. During login, the authentication key is verified by the locker system to ensure its validity beforegrantingaccess.Byenforcingastrictone-user-onekey policy, the system effectively prevents multiple account creation. This proactive approach enhances security, reduces misuse, improves user trust, and provides a scalable solution for secure identity managementinmoderndigitalecosystems.
5.1 SYSTEM ARCHITECTURE
The architecture of the KeyShield system is designed as a centralized and modular framework that integrates user registration, identity verification, key generation, and authentication processes. The system consists of two primarycomponents:thedigitallocker(centralauthority) andtheclientplatforms(socialmediaapplications).
• The digital locker acts as the core of the system, responsible for managing user identities and authenticationkeys.Itsecurelystoresusercredentialsand ensures that each user is verified before being granted access. The locker maintains a database containing user
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
information and their corresponding unique authenticationkeys.
• The system architecture follows a structured workflow. Initially, the user registers in the locker by providing personal details such as email and phone number. The system validates these details to ensure uniqueness. Upon successful verification, a unique authenticationkeyisgeneratedandstoredsecurely.
• When a user attempts to log in to a social media platform, the platform communicates with the locker system to verify the provided authentication key. The locker checks the validity of the key and confirms the user’s identity. Based on this verification, access is either grantedordenied.
• This centralized architecture ensures consistent authentication across multiple platforms and eliminates the possibility of duplicate accounts. It also simplifies integration, as external platforms only need to interact with the locker system for authentication, reducing complexityandimprovingsecurity.
5.2 SYSTEM WORKING AND FLOW
The working of theKeyShield system followsa sequential and well-defined process that ensures secure user authentication and prevents duplicate account creation. The system operates in multiple stages, beginning from userregistrationtofinalaccessvalidation.
i. The first stage involves user registration within the digital locker. The user provides essential details such as name, email address, and phone number. The system performs validation checks to ensure that the provided informationisuniqueandnotalreadyregistered.
ii. In the second stage, once the user is successfully verified,thesystemgeneratesauniqueauthenticationkey. This key acts as a digital identity token and is securely storedinthelockerdatabase.Thekeyisthen provided to theuserforfutureauthenticationpurposes.
iii. The third stage involves login verification. When the user attempts to access a social media platform, the system requires the authentication key instead of traditional login credentials. The platform sends a verification request to the locker system along with the providedkey.
iv. In the final stage, the locker system validates the authenticationkeybycomparingitwithstoredrecords. If the key is valid and matches the user’s identity, access is granted. If the key is invalid or does not exist, the system denies access, preventing unauthorized or duplicate accountusage.
v. This step-by-step workflow ensures that only verified users can access the platform, thereby eliminating fake account creation. The system provides a secure, efficient, and scalable authentication mechanism suitable for moderndigitalenvironments.
6. IMPLEMENTATION MODULES
The KeyShield system is divided into several functional modules that collectively ensure secure authentication and prevention of fake account creation. Each module performsaspecifictaskwithinthesystem,contributingto theoverallefficiencyandreliabilityoftheframework.The major modules include User Registration, Locker Authentication,UniqueKeyGeneration,SocialMediaLogin Verification, and Security Monitoring. These modules are interconnected and operate in a sequential manner to ensureproperidentityverificationandaccesscontrol.The modular design enhances system scalability, simplifies implementation,andallowseasyintegrationwithexisting platformswhilemaintaininghighsecuritystandards.
6.1 Module 1: USER REGISTRATION MODULE
TheUserRegistrationModuleservesastheentrypoint of the KeyShield system, where users establish their digital identity within the centralized locker environment. This moduleisdesignedtoensurethateveryuserundergoesa secure and verified onboarding process before accessing anyconnectedplatforms.
During registration, users are required to provide essential personal details such as name, email address, and phone number. These details act as primary identifiersandareusedtodistinguisheachuserwithinthe system. The input process is designed to be user-friendly whilemaintainingstrictvalidationstandards.
Thesystemperformsmultiplevalidationcheckstoensure data authenticity and uniqueness. Email verification and phonenumbervalidationmechanismsareimplementedto confirm that the provided credentials belong to a legitimate user. Additionally, the system checks for duplicate entries to prevent multiple registrations using thesameinformation.
Once the validation process is completed successfully, the user’s information is securely stored in the locker database. Advanced security measures are applied to protect sensitive data from unauthorized access and potential breaches, ensuring data integrity and confidentiality.
This module plays a critical role in establishing a trusted identityfoundationfortheentiresystem.Byensuringthat only verified and unique users are registered, it supports the core objective of preventing fake and duplicate accountcreationintheKeyShieldframework.
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
6.2 Module 2: LOCKER AUTHENTICATION MODULE
The Locker Authentication Module acts as the central authority of the KeyShield system, responsible for verifying user identities and managing authentication processes. It ensures that only legitimate and verified users are allowed to access the system and connected platforms.
This module operates by validating user credentials during both registration and login stages. When a user submits their details or authentication key, the locker system cross-checks the information with the stored database to confirm its authenticity. This process guaranteesthatunauthorizeduserscannotgainaccess.
A key feature of this module is its centralized nature. Unlike traditional systems where authentication is handled independently by each platform, the locker system provides a unified verification mechanism. This eliminates inconsistencies and ensures uniform security policiesacrossallintegratedplatforms.
The module also maintains a secure database that stores user credentials and their corresponding authentication keys.Advancedsecurity techniquesareapplied to protect this data from unauthorized access, ensuring confidentiality and integrity. This centralized storage simplifies identity management and enhances system reliability.
Overall, the Locker Authentication Module plays a crucial role in enforcing secure access control within the KeyShieldframework.Byactingasa trustedintermediary between users and platforms, it strengthens authentication, prevents unauthorized access, and supportsthesystem’sgoalofeliminatingfakeaccounts.
6.3 Module 3: UNIQUE KEY GENERATION MODULE
TheUniqueKeyGenerationModuleisacorecomponentof the KeyShield system, responsible for creating a distinct authentication key for every registered user. This module ensuresthateachuserisassignedauniquedigitalidentity withinthesystem.
Once the user successfully completes the registration and verification process, this module generates a secure authenticationkey. Thekey isdesignedusingappropriate algorithmstoensurerandomnessanduniqueness,making itdifficulttopredictorduplicate.
Each generated key is permanently associated with the user’s verified credentials, such as email address and phone number. This linkage ensures that the identity of
the user remains consistent and cannot be replicated acrossmultipleaccounts.
Thegeneratedauthenticationkeyissecurelystoredinthe lockerdatabaseandisalsoprovidedtotheuserforfuture login purposes. Proper security mechanisms are implementedtoprotectthekeyfromunauthorizedaccess, misuse,orleakage.
This module plays a vital role in enforcing the one-userone-key policy, which is the foundation of the KeyShield system.Byensuringthateachuserpossessesonlyasingle unique key, the system effectively prevents duplicate account creation and strengthens overall authentication security.
6.4 Module 4: SOCIAL MEDIA LOGIN ERIFICATION MODULE
TheSocial MediaLogin Verification Moduleisresponsible for managing the authentication process when users attempt to access external platforms integrated with the KeyShieldsystem.Itreplacestraditionalloginmechanisms withamoresecureandcentralizedapproach.
Inthismodule,usersarerequiredtoprovidetheirlockergenerated authentication key instead of conventional credentials such as usernames and passwords. This ensures that only users who have completed the registration and verification process can proceed with login.
Whenaloginrequestisinitiated,thesocialmediaplatform sends the provided authentication key to the locker system for validation. The locker system then checks the key against its stored database to verify its authenticity andassociationwitharegistereduser.
Iftheauthenticationkeyisvalidandcorrectlymatchesthe stored user credentials, the system grants access to the platform.Incontrast,ifthekeyisinvalid,expired,ordoes not exist, the system immediately rejects the login attempt,therebypreventingunauthorizedaccess.
This module plays a crucial role in maintaining system security and enforcing identity uniqueness. By ensuring thatonlyverifiedkeysareacceptedforlogin,iteliminates the possibility of fake account usage and strengthens the overall authentication process within the Key Shield framework.
7. ADVANTAGES
Theproposed KeyShield system offers a significant advancement over traditional authentication mechanisms by introducing a prevention-oriented approach to security. One of its primary advantages is the ability to
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
prevent fake and duplicate account creation at the initial stage itself. Unlike existing systems that rely on detecting maliciousaccountsafter theircreation,KeyShield ensures that only verified users can enter the system, thereby eliminatingmisusebeforeitbegins.
Anothermajoradvantageofthesystemistheenforcement ofastrictone-user-one-keypolicy.Eachuserisassigneda unique authentication key that is permanently linked to theirverifiedcredentialssuchasemailaddressandphone number. This ensures identity uniqueness and makes it extremely difficult for individuals to create multiple accounts, thereby reducing duplication and misuse across platforms.
The system also provides enhanced security compared to traditional password-based authentication methods. Passwords are often vulnerable to various cyber threats suchasphishing,brute-forceattacks,andcredentialreuse. In contrast, the KeyShield framework replaces passwords with secure authentication keys, thereby minimizing common vulnerabilities and improving overall system protection.
A key strength of the proposed system is its centralized authentication mechanism. All verification processes are handled through a digital locker, which acts as a trusted identity provider. This centralized approach ensures consistent authentication across multiple platforms and eliminates discrepancies that may arise from decentralized verification systems. It also simplifies identitymanagementandenhancessystemreliability.
The KeyShield system significantly reduces the risk of malicious activities such as spam, impersonation, and cyber fraud. By restricting access to only verified users, the system creates a safer digital environment where users can interact with greater confidence. This contributes to improved trust and credibility in online platforms.
Anotheradvantageisthereduceddependencyoncomplex machine learning models and large datasets. Traditional detection-based systems require continuous training and high computational resources, which increases system complexity. In contrast, KeyShield focuses on prevention, thereby reducing computational overhead and enabling fasterresponsetimes.
The system is also designed to be highly scalable and adaptable. Its modular architecture allows easy integrationwithexistingsocialmediaplatformsandother digitalservices.Thisflexibilitymakesitsuitableforawide rangeofapplications,includinge-commerce,banking,and governmentservices.
Furthermore, the system improves user experience by simplifyingtheauthenticationprocess.Usersarenolonger
required to remember multiple passwords or manage complex login credentials. Instead, a single authentication key can be used across multiple platforms, providing conveniencewithoutcompromisingsecurity.
The centralized monitoring capability of the system further enhances its effectiveness. Suspicious activities, such as repeated invalid login attempts, can be detected and controlled at the locker level. This proactive monitoringensuresthatpotentialthreatsareaddressedin realtime.
Overall, the KeyShield system represents a robust, efficient, and scalable solution for modern authentication challenges. By combining strong identity verification, centralized control, and prevention-based security, it establishes a new standard for secure and reliable digital identitymanagement.
8. IDENTIFIED LIMITATIONS AND ISADVANTAGES
Despite the effectiveness of the proposed KeyShield system in preventing fake and duplicate account creation, certain limitations must be acknowledged to provide a realistic evaluation of the framework. These limitations are primarily associated with system performance, usability,andimplementationchallenges.
One of the major limitations of the system is its dependency on a centralized authentication mechanism. Since the digital locker acts as the core authority for identityverification,anyfailureordowntimeinthelocker system can affect the accessibility of all connected platforms.Thiscreatesasinglepointoffailure,whichmay impact system reliability if not properly managed with backupandredundancymechanisms.
Another challenge is the potential increase in system complexity during implementation. Integrating the KeyShieldframeworkwithexistingplatformsmayrequire architectural modifications and additional infrastructure, which can increase development effort and cost. Organizationsmay facedifficultiesinadoptingthesystem withoutproperstandardizationandcompatibilitysupport.
The system may also introduce usability concerns for users who are accustomed to traditional authentication methods.Managingandsecurelystoringanauthentication key could be challenging for some users, especially if proper recovery mechanisms are not in place. Loss or compromise of the key may temporarily restrict access untilverificationproceduresarecompleted.
Furthermore, while the system effectively prevents duplicate account creation, it does not completely eliminate all forms of cyber threats. Attackers may attempt to exploit other vulnerabilities such as social
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
engineering or device-level attacks. Therefore, additional security measures are required to complement the authenticationframework.
Another limitation is the requirement for strict validation of user credentials, which may increase the time required for registration. While this enhances security, it may slightly impact user convenience during the onboarding process.
Despitetheselimitations,theproposedsystemprovides a strong foundation for secure authentication. With proper enhancements such as distributed architecture, backup mechanisms, and improved user interfaces, these challenges can be effectively addressed in future implementations.
9. FUTURE ENHANCEMENT
Although the proposed KeyShield system provides a robust and effective solution for preventing fake and duplicate account creation, several enhancements can be incorporated to further strengthen its capabilities and expand its applicability in real-world environments. One of the most significant future improvements is the integration of biometric authentication methods such as fingerprintrecognition,facialrecognition,oririsscanning. By combining biometric verification with the existing locker-based authentication mechanism, the system can achieveahigherlevelofidentityassuranceandreducethe chancesofunauthorizedaccess.
Another important enhancement involves the incorporation of machine learning and artificial intelligence techniques to monitor user behavior and detect anomalies in real time. While the current system focuses on prevention, integrating intelligent monitoring can provide an additional layer of security by identifying suspicious patterns such as unusual login attempts, location-based anomalies, or abnormal usage behavior. This hybrid approach can significantly improve the system’sabilitytohandleadvancedcyberthreats.
Furthermore, the system can be expanded beyond social media platforms to support a wide range of digital services, including banking, e-commerce, healthcare, and governmentapplications.ThiswouldtransformKeyShield into a universal authentication provider capable of managingdigitalidentitiesacrossmultipledomains.
Additionally, the implementation of advanced encryption techniques and secure communication protocols can further strengthen data protection and prevent potential cyber-attacks.Regularsystemupdatesandsecurityaudits can ensure that the framework remains resilient against evolvingthreats.
Overall, these future enhancements aim to transform the KeyShield system into a comprehensive, intelligent, and scalableauthenticationsolution capable ofaddressing the dynamicchallengesofmoderndigitalecosystems.
10. CONCLUSIONS
The rapid growth of digital platforms, particularly social media, has significantly increased the challenges associatedwithfakeandduplicateaccountcreation.These malicious accounts contribute to various cyber threats, including misinformation, identity theft, financial fraud, and large-scale manipulation. Existing authentication systems, which primarily rely on reactive detection mechanisms, are insufficient to address this issue effectively, as they allow attackers to exploit platforms beforebeingidentified.
The proposed KeyShield system introduces a novel prevention-oriented authentication framework that addresses these limitations by focusing on identity verification at the initial stage. By implementing a centralized digital locker and generating a unique authentication key for each verified user, the system ensures a strict one-user-one-identity model. This approach effectively eliminates the possibility of multiple account creation and significantly enhances overall platformsecurity.
One of the key strengths of the KeyShield framework lies in its simplicity and efficiency. By replacing traditional password-based authentication with a secure key-based mechanism, the system reduces vulnerabilities associated with common cyber-attacks. Additionally, the centralized architecture ensures consistent and reliable authentication across multiple platforms, improving both securityandusability.
The system also demonstrates strong scalability and adaptability, making it suitable for integration with various digital services beyond social media. Its modular design allows easy implementation and future enhancements, ensuring long-term applicability in evolvingtechnologicalenvironments.
In conclusion, the KeyShield system represents a significant advancement in authentication technology by shiftingthefocusfromdetectiontoprevention.Itprovides a secure, efficient, and scalable solution for managing digitalidentities,therebycontributingto thedevelopment ofsaferandmoretrustworthyonlineecosystems.
11. ACKNOWLEDGMENTS
The authors would like to express their sincere gratitude to their project guide, Mr. P. Sathishkumar, Assistant Professor, Department of Cyber Security, Paavai
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 13 Issue: 04 | Apr 2026 www.irjet.net p-ISSN: 2395-0072
EngineeringCollege,forhiscontinuousguidance,valuable suggestions, and support throughout the development of this project. His expertise and encouragement played a crucialroleinthesuccessfulcompletionofthiswork.
The authors also extend their heartfelt thanks to the Department of Cyber Security Engineering for providing the necessary resources and facilities to carry out this research. Special appreciation is given to all faculty members and classmates for their constructive feedback, motivation, and assistance during the design and implementationphasesoftheproject.
Finally, the authors acknowledge the support of their institution for enabling them to undertake and complete thisresearchsuccessfully.
REFERENCES
[1] [1] A. Jain, P. Sharma, and K. Mehta, “Machine LearningApproachesforFakeAccountDetection in Social Networks,” IEEE Access, vol. 10, pp. 12894–12907,2022.
[2] M. Lee and S. Kim, “Behavioral Analysis for Detecting Malicious Social Media Accounts,” Computers & Security,vol.125,pp.102947–102959,2023.
[3] N. Gupta and R. Verma, “Hybrid Models for Fake Account Detection Using Machine Learning and NLP,” ExpertSystemswithApplications,vol.229,2023.
[4] R. Patel and D. Singh, “Threat Intelligence Integration for Cybersecurity Applications,” Journal of Cybersecurity and Privacy, vol. 5, no. 2, pp. 65–79, 2021.
[5] L. Zhou and T. Wang, “Blockchain-Based Identity Verification Framework,” IEEE Transactions on Information Forensics and Security, vol. 19, no. 4, pp. 451–463,2024.
[6] S.O.Fatayoletal.,“AReviewonPhishingandIdentityBased Attacks: Methods and Future Directions,” IEEE Access,vol.11,pp.91705–91728,2023.
[7] A. Singh, “Machine Learning Techniques for Social MediaSecurity,”IEEEConferenceProceedings,2022.
[8] S. Lee and J. Kim, “Early Detection of Malicious AccountsinOnlinePlatforms,”IEEEConference,2021.
[9] M. Mazza et al., “Detecting Social Bots and Fake Accounts in Online Platforms,” IEEE Transactions, 2022.
[10] Google, “Google Safe Browsing: Protecting Users from Malicious Content,” [Online]. Available: https://safebrowsing.google.com/
[11] PhishTank, “Phishing Data and Threat Intelligence Repository,” [Online]. Available: http://www.phishtank.com/
[12] OpenPhish, “Real-Time Phishing Intelligence Feed,” [Online].Available:https://openphish.com/
[13] K. Scarfone and P. Mell, “Guide to Intrusion Detection and Prevention Systems,” NIST Special Publication, 2021.
[14] D. Florêncio and C. Herley, “A Large-Scale Study of Web Password Habits,” ACM Conference on World WideWeb,2020.
[15] Microsoft, “Digital Identity and Authentication in ModernSystems,”TechnicalDocumentation,2023.