A generalized research study on distance measures, learning algorithms and datasets
Author:
Affiliation:
1. Jain University, Bangalore, INDIA
2. Malnad College of Engineering, Hasan, Karnataka, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3330431.3330466
Reference108 articles.
1. D. J. Weller-Fahy B. J. Borghetti and A. A. Sodemann "A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection " in IEEE Communications Surveys & Tutorials vol. 17 no. 1 pp. 70--91 Firstquarter 2015. D. J. Weller-Fahy B. J. Borghetti and A. A. Sodemann "A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection " in IEEE Communications Surveys & Tutorials vol. 17 no. 1 pp. 70--91 Firstquarter 2015.
2. H. Kwon T. Kim S. Yu and H. Kim " Self-similarity based lightweight intrusion detection method for cloud computing " in Intelligent Information and Database Systems vol. 6592 . Berlin Germany : Springer-Verlag 2011 ser. Lecture Notes in Computer Science pp. 353 -- 362 . H. Kwon T. Kim S. Yu and H. Kim "Self-similarity based lightweight intrusion detection method for cloud computing " in Intelligent Information and Database Systems vol. 6592. Berlin Germany: Springer-Verlag 2011 ser. Lecture Notes in Computer Science pp. 353--362.
3. An Architecture for Inline Anomaly Detection
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