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VLDB
2005
ACM
153views Database» more  VLDB 2005»
14 years 7 months ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 7 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
ACSAC
1998
IEEE
13 years 11 months ago
Application-Level Isolation to Cope with Malicious Database Users
System protection mechanisms such as access controls can be fooled by authorized but malicious users, masqueraders, and misfeasors. Intrusion detection techniques are therefore us...
Sushil Jajodia, Peng Liu, Catherine D. McCollum
LISA
2008
13 years 9 months ago
Fast Packet Classification for Snort by Native Compilation of Rules
Signature matching, which includes packet classification and content matching, is the most expensive operation of a signature-based network intrusion detection system (NIDS). In t...
Alok Tongaonkar, Sreenaath Vasudevan, R. Sekar
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
14 years 7 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...