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A Hybrid Intrusion Detection System for Hierarchical Filtration of Anomalies

  • Pragma Kar
  • Soumya Banerjee
  • Kartick Chandra Mondal
  • Gautam Mahapatra
  • Samiran ChattopadhyayEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

Network Intrusion Detection System (NIDS) deals with perusal of network traffics for the revelation of malicious activities and network attacks. The diversity of approaches related to NIDS, however, is commensurable with the drawbacks associated with the techniques. In this paper, an NIDS has been proposed that aims at hierarchical filtration of intrusions. The experimental analysis has been performed using KDD Cup’99 and NSL-KDD, from which, it can be clearly inferred that the proposed technique detects the attacks with high accuracy rates, high detection rates, and low false alarm. The run-time analysis of the proposed algorithm depicts the feasibility of its usage and its improvement over existing algorithms.

Keywords

NIDS KDD Cup’99 NSL-KDD Feature selection Preprocessing Decision tree Isolation forest K-nearest neighbor 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pragma Kar
    • 1
  • Soumya Banerjee
    • 1
  • Kartick Chandra Mondal
    • 1
  • Gautam Mahapatra
    • 2
  • Samiran Chattopadhyay
    • 1
    Email author
  1. 1.Jadavpur UniversityKolkataIndia
  2. 2.Research Centre Imarat, DRDO, Ministry of Defence, Govt of IndiaHyderabadIndia

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