Analyzing and detecting network intrusion behavior using packet capture

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Network Intrusion is one of serious computer network security issues faced by almost all organizations or industries around the world. The big problem is that companies still have poor security to keep their network in good condition. Unfortunately, the management takes the simplest way by putting heavy responsibilities to network administrator rather than spending a high cost of computer security setup. In this paper describes a preliminary study for proposing a technique of analyzing network intrusion by using Packet Capture integrated with Network Intrusion Behavior Analysis Engine. This technique analyzes whether the flow of the network is healthy or malicious. The study consists of several components for implementing an effective and efficient network analyzing mechanism. Artificial Neural Network is selected as the main method for its behavior analysis engine. Then, it will illustrate the analysis result using an enhanced visualization method which gives more knowledge and understanding to the network administrators for effectively monitor network traffics.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings
PublisherSpringer Verlag
Pages750-761
Number of pages12
Volume10645 LNCS
ISBN (Print)9783319700090
DOIs
Publication statusPublished - 1 Jan 2017
Event5th International Visual Informatics Conference, IVIC 2017 - Bangi, Malaysia
Duration: 28 Nov 201730 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10645 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Visual Informatics Conference, IVIC 2017
CountryMalaysia
CityBangi
Period28/11/1730/11/17

Fingerprint

Engines
Network security
Security of data
Computer networks
Industry
Visualization
Neural networks
Computer Security
Costs
Engine
Network Security
Computer Networks
Network Traffic
Artificial Neural Network
Monitor

Keywords

  • Artificial neural network
  • Behavior analysis
  • Intrusion detection
  • Network security
  • Threat

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zabri, Z., & Puteri Nor Ellyza, N. (2017). Analyzing and detecting network intrusion behavior using packet capture. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings (Vol. 10645 LNCS, pp. 750-761). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70010-6_69

Analyzing and detecting network intrusion behavior using packet capture. / Zabri, Zahidan; Puteri Nor Ellyza, Nohuddin.

Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. p. 750-761 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zabri, Z & Puteri Nor Ellyza, N 2017, Analyzing and detecting network intrusion behavior using packet capture. in Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. vol. 10645 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10645 LNCS, Springer Verlag, pp. 750-761, 5th International Visual Informatics Conference, IVIC 2017, Bangi, Malaysia, 28/11/17. https://doi.org/10.1007/978-3-319-70010-6_69
Zabri Z, Puteri Nor Ellyza N. Analyzing and detecting network intrusion behavior using packet capture. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS. Springer Verlag. 2017. p. 750-761. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70010-6_69
Zabri, Zahidan ; Puteri Nor Ellyza, Nohuddin. / Analyzing and detecting network intrusion behavior using packet capture. Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. pp. 750-761 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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