Abstract
Social Network Sites (SNSs) are one of the most significant and considerable topics that draw researches attention nowadays. Recently, lots of people from different areas, ages and genders join to SNSs and share lots of different information about various things. Spreading information can be harmful for users’ privacy. In this paper, first we describe some definitions of social networks and their privacy threats. Second, after reviewing some related works on privacy we explain how we can minimize the information disclosure to adversaries by using integrated algorithm. Finally we try to show the effectiveness of proposed algorithm in order to protect the users’ privacy. The enhanced security by anonymizing and diversifying disclosed information presents and insures the paper aim.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adu-Oppong, F., Gardiner, C.K.: Social Circles: Tackling Privacy in Social Networks. In: SOUPS, Pittsburg (2008)
Agranoff, C.: Facebook’s Latest Controversy – New Privacy Changes Violate PolicyAvailable from World Wide Web (2009), http://www.rev2.org/2009/12/17/facebooks-latest-controversy-new-privacy-changes-violate-policy/ (accessed January 18, 2010)
Boyd, D.: Friendster & Publicly Articulated Social Networking. In: Conference on Human Factors and Computing Systems (CHI 2004), pp. 24–29 (2004)
Byun, J.-W., Kamra, A., Bertino, E., Li, N.: Efficient K-Anonymization Using Clustering Techniques. CERIAS and Computer Science (2007)
Ellison, D.M.: Social Network Sites: Definition, History, and Scholarship. Computer-Mediated Communication (2007)
Emam, K.E.: A Globally Optimal k-Anonymity Method for the De-identification of Health Data. Journal of the American Medical Infomatic Addociation, 670–682 (2009)
Ford, R., Truta, T.M., Campan, A.: P-Sensitive K-Anonymity for Social Networks. Northern Kentucky University (2009)
Gross, R.A.: Information Revelation and Privacy in Online Social Networks. In: The 2005 ACM Workshop on Privacy in the Electronic Society, pp. 71–80 (2005)
Hasib, A.A.: Threats of Online Social Networks. IJCSNS International Journal of Computer Science, 288–293 (2009)
John Miller, A.C.: Cnstrained k-Anonymit: Privacy with Generalization Boundaries (2008)
Jones, H., Soltren, J.H.: Facebook: Threats to Privacy (2005)
Machanavajjhala, A., Gehrke, J., Kifer, D., Venkitasubramaniam, M.: â„“-Diversity: Privacy Beyond k-Anonymity. In: Proc. 22nd Intnl. Conf. Data Engg. (ICDE), p. 24 (2006)
Sweeney, L.K.: Anonymity: A Model For Protecting Privacy. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 557–570 (2002)
Sweeny, L.: Achieving k-Anonymity Privacy Protection Using Generalization and Suppression. International Journal on Uncertainty,Fuzziness and Knowledge-based Systems, 571–588 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kavianpour, S., Ismail, Z., Mohtasebi, A. (2011). Effectiveness of Using Integrated Algorithm in Preserving Privacy of Social Network Sites Users. In: Cherifi, H., Zain, J.M., El-Qawasmeh, E. (eds) Digital Information and Communication Technology and Its Applications. DICTAP 2011. Communications in Computer and Information Science, vol 167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22027-2_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-22027-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22026-5
Online ISBN: 978-3-642-22027-2
eBook Packages: Computer ScienceComputer Science (R0)