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KDD
2004
ACM
159views Data Mining» more  KDD 2004»
15 years 12 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 10 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ACSAC
2004
IEEE
15 years 10 months ago
Extracting Attack Manifestations to Determine Log Data Requirements for Intrusion Detection
Log data adapted for intrusion detection is a little explored research issue despite its importance for successful and efficient detection of attacks and intrusions. This paper pr...
Emilie Lundin Barse, Erland Jonsson
ACSAC
2006
IEEE
15 years 10 months ago
Data Sandboxing: A Technique for Enforcing Confidentiality Policies
When an application reads private / sensitive information and subsequently communicates on an output channel such as a public file or a network connection, how can we ensure that ...
Tejas Khatiwala, Raj Swaminathan, V. N. Venkatakri...
ATAL
2003
Springer
15 years 10 months ago
A configurable mobile agent data protection protocol
This paper addresses the problem of protecting the data carried by mobile agents from the possible attacks of malicious execution hosts. Specifically, we consider protection mecha...
Paolo Maggi, Riccardo Sisto