Diagnosing bot infections using Bayesian inference

Abstract

Prior research in botnet detection has used the bot lifecycle to build detection systems. These systems, however, use rule-based decision engines which lack automated adaptability and learning, accuracy tunability, the ability to cope with gaps in training data, and the ability to incorporate local security policies. To counter these limitations, we propose… (More)
DOI: 10.1007/s11416-016-0286-y

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Cite this paper

@article{Ashfaq2016DiagnosingBI, title={Diagnosing bot infections using Bayesian inference}, author={Ayesha Binte Ashfaq and Zainab Abaid and Maliha Ismail and Muhammad Umar Aslam and Affan A. Syed and Syed Ali Khayam}, journal={Journal of Computer Virology and Hacking Techniques}, year={2016}, pages={1-18} }