International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 03 | Mar 2024
p-ISSN: 2395-0072
www.irjet.net
ROLE OF AI IN DATA SECURITY Varun Singh1 1B.Tech Student, Dept. of Electronics Engineering, Madhav Institute of Technology & Science [MITS] Gwalior, India
---------------------------------------------------------------------***--------------------------------------------------------------------2.Integrity: Ensuring that data remains accurate, complete Abstract: In today's digital era, data holds a significance & unaltered during storage, processing & transmission. Integrity controls such as checksums & digital Signatures, detect & prevent unauthorized modifications to data.
comparable to that of oil, serving as the lifeblood for countless businesses and governmental operations, propelling decision-making processes, fostering innovation, and enhancing operational efficiency. However, this escalating reliance on data has illuminated the critical importance of data security. As instances of data breaches and cyberattacks continue to escalate, the imperative for robust protective measures has become more pronounced than ever. Data security involves the proactive safeguarding of digital information from unauthorized access, corruption, theft, or any other nefarious activities.
3.Availability: Ensuring that data is accessible and usable when needed by authorized users. Availability measures include redundant storage, backup and recovery systems & robust network infrastructure to minimize downtime and disruptions. 4.Authentication: Verifying the identity of users and systems accessing data to prevent unauthorized access. authentication mechanisms include passwords, biometric authentication & multifactor authentication to validate user identities.
Conventional security measures, once deemed effective, now prove inadequate in the face of increasingly sophisticated cyber threats. Cybercriminals have adeptly adopted new tactics and powerful tools to infiltrate, attack, and compromise data systems. Thankfully, Artificial Intelligence (AI) technologies have stepped into the digital arena, offering ingenious systems capable of bolstering defenses against cyberattacks. This paper explores AI techniques deployed across various applications in the ongoing battle against cyber threats.
5. Prevention of Financial loss: Business and individuals can suffer significant financial losses due to data breaches; cybercriminals may exploit vulnerabilities to steal financial data, conduct fraudulent transactions or extort money. 6.Legal Compliance: many countries have strict data protection laws & regulations, adhering to these laws such as the General Protection Regulation (GDPR) in Europe or The Health Insurance Portability & Accountability (HIPAA) in United States is essential to avoid legal conseques & fines.
Key Words: Data security, artificial intelligence, cyber attacks , Data , cybersecurity
1.INTRODUCTION:
7.Preventing Business Disruption: Cyberattacks & data breaches can disrupt normal business operation. Ransomware attacks for example can encrypt important data, rendering it inaccessible until a ransom is paid. this can lead to significant downtime & financial losses.
The spotlight on data confidentiality has intensified, particularly as ubiquitous internet access exposes critical corporate data and personal information to novel security threats. On the other hand, data sharing across different entities and for diverse purposes is crucial for numerous applications including homeland security, medical research and environmental protection. Data security encompasses various measures and protocol designed to safeguard sensitive information and ensures it confidentiality, integrity and availability. Data security aim to prevent unauthorized disclosure, modification or destruction of data, whether stored electronically or transmitted over network.
8.Intellectual Property Protection: Companies often have valuable intellectual property, trade secrets & proprietary information. 9.National Security Concerns: In some cases, compromised data can pose a threat to national security. Criminal infrastructure, defense system & governments information need robust data security to prevent cyber threats & attacks.
1.1 Key Aspects of data security
10.Preservation of Customer Data: Customer can expect their data to be handled responsibly & securely. protecting customer data not only fulfills legal & ethical obligations but also helps build customer loyalty & satisfaction.
1.Confidentiality: Ensuring that only authorized individuals or system have access to sensitive data. confidentiality measures include encryption, access control to prevent unauthorized disclosure.
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