Trust-Based Collaborative Privacy Management in Online Social Networks

Xu, Lei; Jiang, Chunxiao; He, Nengqiang; Han, Zhu; Benslimane, Abderrahim

doi:10.1109/tifs.2018.2840488

Cited by 51 publications

(45 citation statements)

References 32 publications

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“…A research study has been proposed recently in [18], they use quantified trust value as an incentive value in which users are encouraged to be more considerate of other users' privacy when they intend to share a co-owned data. Rathore and Tripathy [19] proposed a trust based access control method that evaluates the trust values to define access conditions.…”

Section: Related Work:reputation In Online Social Networkmentioning

confidence: 99%

“…Majority of works in the literature have not studied the trust in a quantified sense except Xu et al' work [18]. The closest work to our proposed approach is done by Xu et al [18].…”

Section: Related Work:reputation In Online Social Networkmentioning

confidence: 99%

“…In order to build the reputation models feedback of other peers about a specific peer is used as an utility function, which reflects the satisfaction of a peer experiences after using a service or consuming a product [25]. There are few studies, which has pointed the usage of the reputation in different concepts for social networks [26], [27].…”

Section: Related Work:reputation In Online Social Networkmentioning

confidence: 99%

See 2 more Smart Citations

Advantages of Having Users' Trust and Reputation Values on Data Sharing Process in Online Social Networks

Akkuzu

Aziz

Adda

2019

2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)

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Online Social Networks (OSNs) are quite popular platforms that have an environment where a person can contact to another person without restricting their locations. Users get in contact with each other via sharing contents of data such as videos, photos, messages, and events. Shared contents do not include always only the user's information, who uploads the content to OSNs, but also include other users' information. This type of data sharing might cause serious problems on other people's lives, the type of content is called co-owned data. Current OSNs do not have systems in which there is an enforcement system to make a balance between co-owned data sharing and protection of users' privacy. One way to make the balance is to use reputation systems on co-owned data sharing process in which OSNs' users could be punished or awarded based on their own actions on the co-owned data sharing process. In this work, we propose a reputation system where trust values, which exist between OSNs' users, are used as feedback values. The beta reputation system is used as a groundwork to develop the proposed work's models. Index Terms-the beta system, reputation, data sharing, coowned contents, trust, online social networks.

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Section: Related Work:reputation In Online Social Networkmentioning

confidence: 99%

“…Majority of works in the literature have not studied the trust in a quantified sense except Xu et al' work [18]. The closest work to our proposed approach is done by Xu et al [18].…”

Section: Related Work:reputation In Online Social Networkmentioning

confidence: 99%

Section: Related Work:reputation In Online Social Networkmentioning

confidence: 99%

See 1 more Smart Citation

Advantages of Having Users' Trust and Reputation Values on Data Sharing Process in Online Social Networks

Akkuzu

Aziz

Adda

2019

2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)

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“…Obviously, in OSNs security and trust mainly affect user profiles, requiring several solutions to guarantee acceptable security levels (i.e., authentication of users). Trust relationships among users have been explored to protect sensitive data or to verify the user's identity [5]. To summarize, Table I collects main differences existing between VSNs and OSNs [3].…”

Section: Introductionmentioning

confidence: 99%

SOLVER: A Framework for the Integration of Online Social Networks with Vehicular Social Networks

2020

Self Cite

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Online Social Networks (OSNs) are comprised of people with social interactions and relationships, such as friendship and acquaintance. Social web communities (e.g., Facebook or Twitter), and contentsharing sites with social networking functionality (e.g., YouTube) have attracted millions of users, and OSNs are keeping on growing, with a giant number of users. At the same time, new social services are emerging, moving social networking from traditional OSNs towards Vehicular Social Networks (VSNs). VSNs consider a social network where every vehicle is capable of establishing social ties in an autonomous way with other vehicles or drivers/passengers. However, limitations in VSNs exist, like the reduced connectivity due to mobility models and the opportunistic nature of vehicular networks. Similar considerations apply in OSNs, where the centralized architecture may suffer of high traffic load. In this paper, the integration of OSNs with VSNs is realized through a hybrid framework that merges the centralized structure of OSNs with the distributed opportunistic nature of VSNs. The proposed hybrid OSN-VSN framework, namely SOLVER, allows communications both among different VSNs and towards OSN communities, in order to maintain connectivity and service alive that can be affected by mobility. Connectivity holes of VSNs can be limited through a handover procedure towards OSN community, as well as traffic load in OSN can be redirected to specific VSNs in order to release network resources in OSNs, with the consequent reduction of transmission delay. SOLVER presents a solution for maintaining connectivity in VSN and extending it towards OSN, and vice versa. Security and privacy

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“…Lei Xu et al [2] proposed a trust-based collaborative management mechanism that considers privacy in a social network environment that poses a risk to individual privacy [2]. This study deals with threats that arise from information sharing between people and people in an online environment.…”

Section: Introductionmentioning

confidence: 99%

Event Characteristics of Crypto Currency and Security

2019

IJRTE

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Recently, there has been a continuous occurrence of a security incident on a crypto currency exchange. This background is not related to the current social situation. This is because the social interest in crypto currency provides an attacker with a chance to attack. In this paper, we have started to investigate the relationship between crypto currency and security incidents of block chain. This paper focuses on analysis of crypto currency event of block chain. In this paper, we analyzed the amount of Google data retrieval around specific keywords during a specific period. And we analysis the relevance of this keyword to specific keywords related to security. For example, we analyzed the decrypted bitch coin or etherium, the nice money exchange, nicehash, coincheck, BTCglobal, BITGRAIL, Blackwallet. We are focused on the relationship between the time of the security incident and the public awareness of the related crypto currency exchange. According to the results of the study, it can be assumed that a security incident occurred at a certain point in each exchange. Through this study, we were able to confirm public interest in crypto currency miners. I was able to confirm the degree of interest by time. Cryptographic digger was mainly focused on BitMiner, CGMiner, MultiMiner, and BFGMiner. Most of the public interest in these mining equipment is peaking in December 2017. We also looked at public interest in cryptic bit coin and etherium, mainly in December 2017. The results of this paper can be used to analyze the point of time of the attack on the crypto currency exchange. Crypto currency exchange attacks will continue to occur in the future. If so, when is this attack going to take place? At that point, we need to know at what point the exchange will have public interest. At that point, we should also look at the exchange for vulnerabilities.

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Trust-Based Collaborative Privacy Management in Online Social Networks

Cited by 51 publications

References 32 publications

Advantages of Having Users' Trust and Reputation Values on Data Sharing Process in Online Social Networks

Advantages of Having Users' Trust and Reputation Values on Data Sharing Process in Online Social Networks

SOLVER: A Framework for the Integration of Online Social Networks with Vehicular Social Networks

Event Characteristics of Crypto Currency and Security

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