International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 05 | May 2024
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p-ISSN: 2395-0072
TRUST MANAGEMENT SERVICE PLATFORM Dr. S. M. Iqbal1, Faisal Ahmad2, Harshal Zade3 ,Muhammad Nawed3 ,Tejas Kolhe3 1Assistant Professor, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India 2Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India 3Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India 4Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India
5Student, Dept. of CSE Engineering, PRMIT&R college, Maharashtra, India
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Abstract - Novel trust management solutions for cloud
iii) Formulating an availability model to oversee the decentralized implementation of trust management services.
computing and online freelancing platforms, addressing the challenges posed by their dynamic and distributed nature. In cloud computing, a multi-faceted Trust Management (TM) system is introduced, featuring protocols for proving trust feedback credibility, adaptive credibility models, and availability models for decentralized trust management. Additionally, a dynamic trust model for user authorization is proposed, integrating firsthand and secondhand information. For online freelancing, a three-module system is devised: Trusters, Trustees, and Admin, enabling job givers to search for services, job seekers to showcase skills, and administrators to oversee platform functionality. The methodology encompasses platform development, trust mechanisms, feedback integration, user empowerment, community building, and continuous improvement, aiming to create trustworthy and collaborative environments for both domains.
In contrast to traditional methods like Role-Based Access Control (RBAC), which rely solely on predetermined user permissions, our approach introduces a novel computational dynamic trust model for user authorization. This model integrates both firsthand and secondhand information to formulate a dynamic trust belief about a user's behavior. By differentiating between competence and integrity trust, it enables nuanced decision-making across diverse contexts. Real-world examples, such as online auctions, travel agencies, and web services, demonstrate how this distinction enhances authorization decisions, effectively balancing considerations such as service quality and trustworthiness.
2. LITERATURE REVIEW
Key Words: Trust management service, Trustees, Trusters, Sentiment Analysis, Feedback, Freelancing
In the ever-evolving landscape of online freelancing platforms, trust management plays a pivotal role in facilitating effective interactions between clients and freelancers. This survey delves into the mechanisms employed to enhance trust in such platforms through the incorporation of review systems, feedback mechanisms, ratings, and sentiment analysis.
1.INTRODUCTION The intricate and multifaceted nature of cloud services poses a considerable challenge for trust management within cloud environments. Researchers emphasize that trust and security are pivotal factors influencing the adoption of cloud computing. Despite the prevalence of Service-Level Agreements (SLAs), they often fall short in establishing trust due to their ambiguous and inconsistent clauses. Utilizing consumer feedback emerges as a valuable strategy for evaluating the overall trustworthiness of cloud services. Several scholars have underscored the importance of trust management and have proposed various solutions, including:
[2011] Sheikh Mahbub Habib, Sebastian Ries, and Max Muhlhauser discuss trust management in cloud computing, addressing challenges arising from inconsistencies in service level agreements (SLAs) among different providers. They propose a multi-faceted Trust Management (TM) system tailored for the cloud marketplace to assist customers in identifying trustworthy providers based on attributes such as security and performance. [1]
i) Introducing a novel protocol designed to validate the credibility of trust feedback while safeguarding users' privacy. ii) Developing an adaptive and robust credibility model aimed at assessing the trustworthiness of feedback to shield cloud services from malicious activities and facilitate comparisons among them.
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Impact Factor value: 8.226
[2012] Safwan Mahmud Khan and Kevin W. Hamlen present Hatman, a reputation-based trust management system for Hadoop clouds. It dynamically assesses node integrity, ensuring data and computation security while leveraging cloud computing's distributed power.[2]
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