Volume 18, No. 6, 2021

Heuristic Approach For Social Network Privacy System



Social network services and their popularity are widely spreading, with all age groups being attracted to them across the globe. There are many different reasons to use social networks, including friendships, relationships, interests, knowledge, and other social factors. Popular examples of social networking sites (SNSs) used worldwide include Facebook, Twitter, Linkedin, etc. Its openness increases the likelihood of vulnerabilities, data breaches, and compliance violations. It also creates additional opportunities for hackers to flourish due to a lack of regulation and standardization, making it the most recent platform for security attacks. For security reasons, it is required to provide some heuristic approaches to solve this problem. This paper proposes the P3 model to identify the crucial variables that influence end-user behavior, privacy, and security. As per the security reason, it uses algorithms like generate re-encryption keys, file re-encryption, and permission replacement algorithm. This paper can withstand attacks from DO and AMS servers as well as schemes involving unauthorized users who use these servers. The DO cost is significantly decreased when the number of visitors per capita rises since the buffer mechanism is in place in the Privacy Protection System Social Network (PPSSN) scheme. In addition, the DO overhead of the PPSSN scheme is related to the percentage of close friends, and as the percentage of close friends rises, the system's cost decreases since access users are categorized based on their level of closeness. Additionally, the system's storage costs have not significantly increased; rather, they have been kept within a narrow range and are nearly identical to those of the other two schemes. As a result, PPSSN can enable fine-grained inquiries and enhance service quality while maintaining essentially the same system overhead.

Pages: 8752-8772

Keywords: Online Social Networks, P3 Model, Attribute Management Server, Privacy Enhancing Technologies, Social Networking Sites (Snss).

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