By Mostafa Salama, Mrutyunjaya Panda, Yomna Elbarawy, Aboul Ella Hassanien, Ajith Abraham (auth.), Ajith Abraham (eds.)

ISBN-10: 1447140508

ISBN-13: 9781447140504

ISBN-10: 1447140516

ISBN-13: 9781447140511

This booklet is the second one of 3 volumes that illustrate the concept that of social networks from a computational perspective. The ebook includes contributions from a foreign number of world-class specialists, focusing on issues in terms of defense and privateness (the different volumes evaluate Tools, views, and Applications, and Mining and Visualization in CSNs). issues and contours: offers the most recent advances in safeguard and privateness concerns in CSNs, and illustrates how either enterprises and members may be protected against real-world threats; discusses the layout and use of a variety of computational instruments and software program for social community research; describes simulations of social networks, and the illustration and research of social networks, with a spotlight on problems with protection, privateness, and anonymization; presents adventure stories, survey articles, and intelligence thoughts and theories when it comes to particular difficulties in community technology.

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Additional resources for Computational Social Networks: Security and Privacy

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Accessed on 2012 36. : Polyphonet: an advanced social network extraction system from the web. In: Proceedings of the International Conference on World Wide Web (www 06), New York, pp. 397–406 (2006) 37. : Foundations of attack trees. 186–198 (2005) 38. : Socializing securely: using social networking services. United States Computer Emergency Readiness Team (US-CERT ), Washington, DC (2011) 39. : Towards a theory of privacy for the information age. SIGCAS Comput. Soc. 40(2), 31–34 (2010) 40. : Declarative analysis of noisy information networks.

The privacy levels picked by all N users for the n profile items are stored in an n N response matrix, <. The rows of < correspond to profile items and the columns correspond to users. Privacy Algorithm The privacy index of a user quantifies the user’s privacy risk caused by his privacy settings. The basic privacy risks are the following: • The more sensitive information a user reveals, the higher his privacy risk • The more people know some piece of information about a user, the higher his privacy risk The privacy risk of user j is defined in terms of two parameters: the sensitivity of the user’s profile items, and the visibility these items set.

59. 60. 61. note id=324110600939875. org/wiki/Betweenness. com. : The role of friends appearance and behaviour on evaluations of individuals on facebook: are we known by the company we keep? Hum. commun. Res. 34, 28–49 (2008) 62. : Terrorism: toward an overarched account and prevention with a special reference to pendulum interplay between both parties. Aggress. Viol. Behav. 12(3), 259–279 (2007) 63. : SybilGuard: defending against sybil attacks via social networks. SIGCOMM’06 16(3), 576–589 (2006) Chapter 2 Security, Privacy, and Trust in Social Networks Komathy Karuppanan Abstract Millions of people worldwide are connected through networked digital infrastructure that grows increasingly sophisticated and contextually rich.

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Computational Social Networks: Security and Privacy by Mostafa Salama, Mrutyunjaya Panda, Yomna Elbarawy, Aboul Ella Hassanien, Ajith Abraham (auth.), Ajith Abraham (eds.)

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