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A Network Forensic Scheme Using Correntropy-Variation for Attack Detection

  • Nour MoustafaEmail author
  • Jill Slay
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 532)

Abstract

Network forensic techniques help track cyber attacks by monitoring and analyzing network traffic. However, due to the large volumes of data in modern networks and sophisticated attacks that mimic normal behavior and/or erase traces to avoid detection, network attack investigations demand intelligent and efficient network forensic techniques. This chapter proposes a network forensic scheme for monitoring and investigating network-based attacks. The scheme captures and stores network traffic data, selects important network traffic features using the chi-square statistic and detects anomalous events using a novel correntropy-variation technique. An evaluation of the network forensic scheme employing the UNSW-NB15 dataset demonstrates its utility and high performance compared with three state-of-the-art approaches.

Keywords

Network forensics cyber attacks correntropy-variation technique 

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Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Australian Centre for Cyber SecurityUniversity of New South WalesCanberraAustralia
  2. 2.La Trobe UniversityMelbourneAustralia

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