Privacy protection scheme for mobile social network

Safi, Seyyed Mohammad; Movaghar, Ali; Ghorbani, Mohammad

doi:10.1016/j.jksuci.2022.05.011

Cited by 10 publications

(10 citation statements)

References 55 publications

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“…A general shortcoming of the works [1,[3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] is that the dependence of NMISI in social media, taking into account UDPC, has not been developed and investigated.…”

Section: Literature Survey and Problem Statementmentioning

confidence: 99%

“…In [10], it is reported that if A tells B, and B tells C (and A does not tell C), then clients A and C are at a distance of two. How many clients are at different distances from each client can be important for understanding the differences between clients in the constraints and opportunities they have as a result of their position.…”

Section: Literature Survey and Problem Statementmentioning

confidence: 99%

“…In the works [3,4,6,7,[10][11][12][13][14][15][16][17][18], the digital relationships between the characteristics of clients and the media itself and the characteristics of ISI have not been analyzed. This is a key flaw in the cited works.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Method for Calculating the Information Security Indicator in Social Media With Consideration of the Path Duration Between Clients

Akhramovych,

Pepa,

Zahynei

et al. 2024

IAPGOS

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Heterogeneous differential dependencies of the information security indicator (HDISI) in social media (SM) were analyzed, taking into account the duration of the path between clients (UDPC). The resilience of the information security indicator system (RSIIS) was also determined. The HDISI in SM was developed based on UDPC conditions. It uses modern methods and techniques, including a non-specific method. The conditions of a fixed precondition were formed according to the time grid. This dependency provides a comprehensive explanation of how the previous transformation is replaced by the elapsed period. SM is a set of clients and their types of communication. Clients can be individuals, populations, settlements, or countries. Communication is understood as more than just the transmission and receipt of information. It also includes interaction, the exchange of knowledge and expertise, and discussion. Under the angle of mathematics, the HDISI model based on non-homogeneous differential equations (NDE) was analyzed and its transcendental study was done. The transcendental study of nonlinear HDISI models in SM showed that the characteristics of UDPC significantly affect the information security indicator (ISI) - up to one hundred percent. Phase diagrams (PDs) of ISI were studied, which indicate the highest ISI even at the maximum parameters of malicious actions. For the first time, the analysis of designed HDISI structures was carried out and numerical criteria between the capabilities of UDPC and the measures of ISI, as well as the highest ISI, were obtained, which shows the scientific content of this article.

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Section: Literature Survey and Problem Statementmentioning

confidence: 99%

Section: Literature Survey and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Method for Calculating the Information Security Indicator in Social Media With Consideration of the Path Duration Between Clients

Akhramovych,

Pepa,

Zahynei

et al. 2024

IAPGOS

View full text Add to dashboard Cite

show abstract

“…The biggest hurdle in social networks is access of hackers into private accounts to achieve private information and leaking of personal communication in between the users of the network, these all are after effects of hacking a user's account [9]. The usage of encryption is to protect one's privacy.…”

Section: Literature Reviewmentioning

confidence: 99%

Social Network Integrated with Information Security

Paila,

Sarma,

Sheeba

2023

Recent Trends in Data Science and Its Applications

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In today's world social networks are a part of our daily life. There are millions of users in the social networking sites using them for connecting with their family, friends and sharing private (or) personal information. Social networks are been trusted for communicating purposes in both personal and professional needs. We are proposing a method to create an environment where individuals can express their ideas and built business over them with the help of community (or) network. Here community refers to a group of individuals who are into the same stream of profession. This could be used for helping each other in improving their ideas and developing their concepts collaboratively. In the current scenario social networks are facing a critical challenge of fake users and unauthorized access of them into the network which is leading to the bleaching of privacy to many users. The data of users is not so secured in these social networks, which can be dealt by the incorporation of security policies which improves the environment. This can improve the engagement of community members in being a part of many activities as it is the key to improve once ideas (or) business. In social network individuals are main aspect of the community, protecting them from fake information and users is also very much important and this is achieved by the implementation of security features and policies into the network.

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“…At the same time, this widespread trend also brings challenges to massive data and their efficient sharing. The security issues in social networks may hinder their rapid development in some way, including privacy risks [2,3], identity theft [4,5], malware, and forged personal information [6]. The user information collected by social platforms contains great value, which can be used for advertising, commercial, and political purposes.…”

Section: Introductionmentioning

confidence: 99%

A Privacy-Preserving Friend Matching Scheme Based on Attribute Encryption in Mobile Social Networks

Yu,

Nan,

Niu

2024

Electronics

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In mobile social networks, users can easily communicate with others through smart devices. Therefore, the protection of user privacy in social networks is becoming a significant subject. To solve this problem, this paper proposes a fine-grained data access control scheme that uses attributes to match friends. In our scheme, the friend-making parties generate friend preference and self-description lists, respectively, realizing attribute hiding by converting friendship preference into ciphertext access control policies and self-description into attribute keys. The social platform matches user profiles to quickly eliminate unmatched users and avoids invalid decryption. In order to reduce the computational burden and communication cost of mobile devices, we adopt an algorithm mechanism for outsourcing decryption. When the user meets the matching conditions, the algorithm outsources the bilinear pair operation with large computation to the friend server. After that, the user finally decrypts the ciphertext. Security analysis shows that our scheme is safe and effective. In addition, performance evaluation shows that the proposed scheme is efficient and practical.

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Privacy protection scheme for mobile social network

Cited by 10 publications

References 55 publications

Method for Calculating the Information Security Indicator in Social Media With Consideration of the Path Duration Between Clients

Method for Calculating the Information Security Indicator in Social Media With Consideration of the Path Duration Between Clients

Social Network Integrated with Information Security

A Privacy-Preserving Friend Matching Scheme Based on Attribute Encryption in Mobile Social Networks

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