Abstract
In this paper we first examine data mining applications in security and their implications for privacy. We then examine the notion of privacy and provide an overview of the developments especially those on privacy preserving data mining. We then provide an agenda for research on privacy and data mining.
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References
Agrawal, R., Srikant, R.: Privacy-Preserving Data Mining. In: SIGMOD Conference, pp. 439–450 (2000)
Agrawal, R.: Data Mining and Privacy: Friends or Foes. In: SIGKDD Panel (2003)
Kantarcioglu, M., Clifton, C.: Privately Computing a Distributed k-nn Classifier. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) PKDD 2004. LNCS, vol. 3202, pp. 279–290. Springer, Heidelberg (2004)
Kantarcioglu, M., Kardes, O.: Privacy-Preserving Data Mining Applications in the Malicious Model. In: ICDM Workshops, pp. 717–722 (2007)
Liu, L., Kantarcioglu, M., Thuraisingham, B.M.: The applicability of the perturbation based privacy preserving data mining for real-world data. Data Knowl. Eng. 65(1), 5–21 (2008)
Liu, L., Kantarcioglu, M., Thuraisingham, B.M.: A Novel Privacy Preserving Decision Tree. In: Proceedings Hawaii International Conf. on Systems Sciences (2009)
Thuraisingham, B.: One the Complexity of the Inference Problem. In: IEEE Computer Security Foundations Workshop (1990) (also available as MITRE Report, MTP-291)
Thuraisingham, B.M.: Privacy constraint processing in a privacy-enhanced database management system. Data Knowl. Eng. 55(2), 159–188 (2005)
Clifton, C.: Using Sample Size to Limit Exposure to Data Mining. Journal of Computer Security 8(4) (2000)
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Thuraisingham, B. (2009). Data Mining for Security Applications and Its Privacy Implications. In: Bonchi, F., Ferrari, E., Jiang, W., Malin, B. (eds) Privacy, Security, and Trust in KDD. PInKDD 2008. Lecture Notes in Computer Science, vol 5456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01718-6_1
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DOI: https://doi.org/10.1007/978-3-642-01718-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01717-9
Online ISBN: 978-3-642-01718-6
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