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Information-theoretic measures for anomaly detection
Abstract
Anomaly detection is an essential component of protection mechanisms against novel attacks. We propose to use several information-theoretic measures, namely, entropy, conditional entropy, relative conditional entropy, information gain, and information cost for anomaly detection. These measures can be used to describe the characteristics of an audit data set, suggest the appropriate anomaly detection model(s) to be built, and explain the performance of the model(s). We use case studies on Unix system call data, BSM data, and network tcpdump data to illustrate the utilities of these measures.
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Cites
Bro: a system for detecting network intruders in real-time
Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636
Cited by
Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys · doi:10.1145/1541880.1541882 · Cited by 11,687
Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review
Erhan, L., Ndubuaku, M., Di Mauro, M., Song, W., Chen, M., Fortino, G., Bagdasar, O., & Liotta, A. (2021) · Information Fusion · doi:10.1016/j.inffus.2020.10.001 · Cited by 378
Parzen-window network intrusion detectors
Yeung, D.-Y., & Chow, C. (2003) · Object recognition supported by user interaction for service robots · doi:10.1109/icpr.2002.1047476 · Cited by 277
A defense-centric taxonomy based on attack manifestations
Killourhy, K. S., Maxion, R. A., & Tan, K. M. C. (2004) · International Conference on Dependable Systems and Networks, 2004 · doi:10.1109/dsn.2004.1311881 · Cited by 64
Detection of Anomalies in Large-Scale Cyberattacks Using Fuzzy Neural Networks
de Campos Souza, P. V., Guimarães, A. J., Rezende, T. S., Silva Araujo, V. J., & Araujo, V. S. (2020) · AI · doi:10.3390/ai1010005 · Cited by 16
Metadata
- Authors
- Lee, W., & Xiang, D.
- Venue
- Proceedings 2001 IEEE Symposium on Security and Privacy. S&P 2001
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-13
- Pages
- 130-143
- OpenAlex
- W2096847629
- Cited by
- 537
- References
- 1
- FWCI
- 14.09
- Type
- conference paper
- Language
- en
- Open access
- closed
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