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Real-Time Analysis of Big Network Packet Streams by Learning the Likelihood of Trusted Sequences

  • John YoonEmail author
  • Michael DeBiase
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10968)

Abstract

Deep Packet Inspection (DPI) is a basic monitoring step for intrusion detection and prevention, where the sequences of packed packets are to be unpacked according to the layered network structure. DPI is performed against overwhelming network packet streams. By nature, network packet data is big data of real-time streaming. The DPI big data analysis, however are extremely expensive, likely to generate false positives, and less adaptive to previously unknown attacks. This paper presents a novel machine learning approach to multithreaded analysis for network traffic streams. The contribution of this paper includes (1) real-time packet data analysis, (2) learning the likelihood of trusted and untrusted packet sequences, and (3) improvement of adaptive detection against previous unknown intrusive attacks.

Keywords

Network traffic packet streams Multithreading data analysis Intrusion detection and prevention Genetic algorithmic fitness 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Mercy CollegeDobbs FerryUSA
  2. 2.IT DepartmentWestchester County GovernmentWhite PlainsUSA

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