By Mostafa Salama, Mrutyunjaya Panda, Yomna Elbarawy, Aboul Ella Hassanien, Ajith Abraham (auth.), Ajith Abraham (eds.)
This booklet is the second one of 3 volumes that illustrate the idea that of social networks from a computational standpoint. The ebook includes contributions from a foreign number of world-class specialists, targeting subject matters in relation to safeguard and privateness (the different volumes evaluate Tools, views, and Applications, and Mining and Visualization in CSNs). issues and lines: offers the most recent advances in safeguard and privateness concerns in CSNs, and illustrates how either enterprises and contributors might 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 event experiences, survey articles, and intelligence ideas and theories in relation to particular difficulties in community technology.
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Additional info for Computational Social Networks: Security and Privacy
35–42 (2008) 50. : The relationship between unwillingness to communicate and students Facebook use. J Media Psychol. Theor. Method Appl. 20(2), 67–75 (2008) 51. com. Accessed on 2012 52. : Link suggestions in terrorists networks using semi discrete decomposition. In: Sixth International Conference on Information Assurance and Security (IAS), USA, IEEE, ISBN 978-1-4244-7408-0, pp. 337–339 (2010) 53. : Hackers target facebook apps. CNet News, (cited 5/12/11). html (2008) 54. : Privacy protection with genetic algorithms.
Eng. 2(3), 106–120 (2006) 2. : Terrorism and the world economy. Eur. Econ. Rev. 52(1), 1–27 (2008) 3. : Getting acquainted through social network sites: testing a model of online uncertainty reduction and social attraction. Comput. Hum. Behav. 26, 100–109 (2010) 1 Computational Social Networks: Security and Privacy 19 4. : Persona: an online social network with user-defined privacy. ACM SIGCOMM Comput. Commun. Rev. 39(4), 50–55 (2009) 5. : Social Networking Security and Privacy Study. Barracuda Labs, Belgium (2011) 6.
The data stored in an SNS can be modeled as an online social graph and there exists a one-to-one mapping from the RSN to the online social graph model . 4 shows a sample of online social graph with four user nodes and a single SSN provider node. Any attempt on altering the online social graph model from its corresponding RSN indicates the loss of data consistency or an attack on data integrity. These instances of attack should be detected and corrected with appropriate mechanisms. From Fig. 4, it is evident that attacks on online social graphs are forging nodes or identities and forging social links/connections.
Computational Social Networks: Security and Privacy by Mostafa Salama, Mrutyunjaya Panda, Yomna Elbarawy, Aboul Ella Hassanien, Ajith Abraham (auth.), Ajith Abraham (eds.)