论文信息 - Data Mining for Security Applications and Its Privacy Implications

Data Mining for Security Applications and Its Privacy Implications

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.

Bhavani M. Thuraisingham

[1] Murat Kantarcioglu,et al. Privacy Preserving Decision Tree Mining from Perturbed Data , 2009 .

[2] Li Liu,et al. The applicability of the perturbation based privacy preserving data mining for real-world data , 2008, Data Knowl. Eng..

[3] Rakesh Agrawal,et al. Privacy-preserving data mining , 2000, SIGMOD 2000.

[4] Dino Pedreschi,et al. Knowledge Discovery in Databases: PKDD 2004 , 2004, Lecture Notes in Computer Science.

[5] Ovidio Salvetti,et al. Semi-Automatic Semantic Annotation of Images , 2007 .

[6] Chris Clifton,et al. Using Sample Size to Limit Exposure to Data Mining , 2000, J. Comput. Secur..

[7] Chris Clifton,et al. Privately Computing a Distributed k-nn Classifier , 2004, PKDD.

[8] Bhavani M. Thuraisingham,et al. Privacy constraint processing in a privacy-enhanced database management system , 2005, Data Knowl. Eng..

[9] Murat Kantarcioglu,et al. Privacy-Preserving Data Mining Applications in the Malicious Model , 2007 .