Flow-based anomaly intrusion detection system using two neural network stages

@article{Abuadlla2014FlowbasedAI,
  title={Flow-based anomaly intrusion detection system using two neural network stages},
  author={Yousef Abuadlla and Goran Kvascev and Slavko Gajin and Zoran Jovanovic},
  journal={Comput. Sci. Inf. Syst.},
  year={2014},
  volume={11},
  pages={601-622}
}
Computer systems and networks suffer due to rapid increase of attacks, and in order to keep them safe from malicious activities or policy violations, there is need for effective security monitoring systems, such as Intrusion Detection Systems (IDS). Many researchers concentrate their efforts on this area using different approaches to build reliable intrusion detection systems. Flow-based intrusion detection systems are one of these approaches that rely on aggregated flow statistics of network… CONTINUE READING
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