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» Data Mining for Intrusion Detection: Techniques, Application...
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112
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ICDCS
2006
IEEE
15 years 6 months ago
A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...
Yan Gao, Zhichun Li, Yan Chen
ACSAC
2003
IEEE
15 years 5 months ago
Intrusion Detection: A Bioinformatics Approach
This paper addresses the problem of detecting masquerading, a security attack in which an intruder assumes the identity of a legitimate user. Many approaches based on Hidden Marko...
Scott E. Coull, Joel W. Branch, Boleslaw K. Szyman...
104
Voted
ACSAC
2004
IEEE
15 years 4 months ago
Detecting Attacks That Exploit Application-Logic Errors Through Application-Level Auditing
Host security is achieved by securing both the operating system kernel and the privileged applications that run on top of it. Application-level bugs are more frequent than kernel-...
Jingyu Zhou, Giovanni Vigna
IWIA
2005
IEEE
15 years 6 months ago
Forensic Analysis of File System Intrusions Using Improved Backtracking
Intrusion detection systems alert the system administrators of intrusions but, in most cases, do not provide details about which system events are relevant to the intrusion and ho...
Sriranjani Sitaraman, Subbarayan Venkatesan
94
Voted
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 23 days ago
A new scheme on privacy-preserving data classification
We address privacy-preserving classification problem in a distributed system. Randomization has been the approach proposed to preserve privacy in such scenario. However, this appr...
Nan Zhang 0004, Shengquan Wang, Wei Zhao