User-defined privacy location-sharing system in mobile online social networks

Abstract

With the fusion of social networks and location-based services, location sharing is one of the most important services in mobile online social networks (mOSNs). In location-sharing services, users have to provide their location information to service provider. However, location information is sensitive to users, which may cause a privacy-preserving issue needs to be solved. In the existing research, location-sharing services, such as friends' query, does not consider the attacks from friends. In fact, a user may not trust all of his/her friends, so just a part of his/her friends will be allowed to obtain the user's location information. In addition, users' location privacy and social network privacy should be guaranteed. In order to solve the above problems, we propose a new architecture and a new scheme called User-Defined Privacy Location-Sharing (UDPLS) system for mOSNs. In our scheme, the query time is almost irrelevant to the number of friends. We also evaluate the performance and validate the correctness of our proposed algorithm through extensive simulations.

Towards Supporting Security and Privacy for Social IoT Applications: A Network Virtualization Perspective

“…In addition, the available bandwidth resources must satisfy the requirements of the S in the corresponding user request. Similar to [10,20], this paper assumes that each VNF from the same SFC needs to use different physical network nodes. Then, the number of VNFs (denoted as ‖Fs‖) should be less than the number of nodes of physical path P { } (denoted by ‖ { }‖).…”

“…= Algorithm 3(; ; true; max{ }); (9) → Path; (10) = ; (11) else (12) = Algorithm 3(; ; false; max{ }); (13) → Path; (14) = ; (15) end if (16) = -1;…”

“…With an increasing number of social IoT applications, the demand of corresponding NFs for each user necessitates a significant amount of hardware resources. Furthermore, security and privacy preservation in social IoT applications are also important issues that need to be solved [7][8][9][10].…”

Privacy-preserving fusion of IoT and big data for e-health

“…As the data accumulated, the EHRs of the patients become medical big data with high volume, which faces a lot of challenges, such as the information privacy, search, updating and sharing. It is emergent to design a privacy-preserving e-health system for the fusion of IoT and medical big data [4,5,6], which handles these challenges.…”

Characterising User Demographics Across Social Network.

“…This plan is versatile and could be effortlessly embraced by different undertakings as their device to perceive the users. Sun et al (2017) depicted the issue of securing the client protection in area sharing administrations, for example, adjacent companions' inquiry and outsider's question. Another system and another inquiry calculation (UDPLS) were proposed to ensure client area protection on informal organization server and client's interpersonal organization security on area protection.…”