Download Security and privacy in social networks by Yaniv Altshuler, Yuval Elovici, Armin B. Cremers, Nadav PDF
By Yaniv Altshuler, Yuval Elovici, Armin B. Cremers, Nadav Aharony, Alex Pentland
Security and privateness in Social Networks brings to the vanguard leading edge techniques for interpreting and adorning the protection and privateness dimensions in on-line social networks, and is the 1st entire try committed fullyyt to this box. so one can facilitate the transition of such equipment from idea to mechanisms designed and deployed in latest on-line social networking providers, the e-book aspires to create a typical language among the researchers and practitioners of this new zone- spanning from the speculation of computational social sciences to traditional safety and community engineering.
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G. “top commenter”) from the host that is meant to increase the trust of the other users. A mechanism for bootstrapping trust in the authenticity of attributes using community-based certification has been proposed by Bichsel et al. [17]. Their intention was to build a public key infrastructure (PKI) using certification information. 40 P. Bichsel et al. Verified attributes may be communicated between hosts using protocols like the Security Assertion Markup Language (SAML). For example, assuming that Google verified the phone number of a person E, it can forward this information to another host.
Univ Chic Law Rev 72(3):919–988 45. Baden R, Bender A, Spring N, Bhattacharjee B, Starin D (2009) Persona: an online social network with user-defined privacy. In: Proceedings of the ACM SIGCOMM conference on data communication, Barcelona 46. Organisation for Economic Co-operation and Development (1981) Guidelines on the protection of privacy and transborder flows of personal data, vol 11. Organisation for Economic Cooperation and Development, Paris 47. Maliki TE, Seigneur JM (2009) Identity management.
Not only do these factors complicate the representation of a person or an organization online, as well as the communications with these entities, they also pose serious threats for users in terms of the theft and resale of personal data [1–3] or online predators [4, 5]. Our work focuses on the gap between what traditionally characterizes a person or an organization and what is made available in digital form. In particular, we focus on how we can recognize a person or an organization when we interact with them over a network that has no intrinsic security guarantees, such as the Internet.