A novel DNA sequence approach for network intrusion detection system based on cryptography encoding method

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A novel method for Network Intrusion Detection System (NIDS) has been proposed, based on the concept of how DNA sequence detects disease as both domains have similar conceptual method of detection. Three important steps have been proposed to apply DNA sequence for NIDS: Convert the network traffic data into a form of DNA sequence using Cryptography encoding method; discover patterns of Short Tandem Repeats (STR) sequence for each network traffic attack using Teiresias algorithm; and conduct classification process depends upon STR sequence based on Horspool algorithm. 10% KDD Cup 1999 data set is used for training phase. Correct KDD Cup 1999 data set is used for testing phase to evaluate the proposed method. The current experiment results show that the proposed system has obtained good results and these results are equal to 86.36%, 49.69%, and 77.65% for detection rate, false alarm rate, and accuracy respectively. These results are considered as a better result when it is compared with the other previous basic algorithms. It is possible to conclude that DNA sequence has the potential for NIDS solution and it has potential improvement using a better encoding method.

Original languageEnglish
Pages (from-to)183-189
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume7
Issue number1
DOIs
Publication statusPublished - 2017

Fingerprint

DNA sequences
Intrusion detection
Cryptography
nucleotide sequences
Tandem Repeat Sequences
tandem repeat sequences
traffic
Microsatellite Repeats
microsatellite repeats
methodology
Testing
Experiments
testing
Datasets

Keywords

  • DNA
  • Horspool algorithm
  • Network intrusion detection system
  • Teiresas algorithm

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Computer Science(all)
  • Engineering(all)

Cite this

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title = "A novel DNA sequence approach for network intrusion detection system based on cryptography encoding method",
abstract = "A novel method for Network Intrusion Detection System (NIDS) has been proposed, based on the concept of how DNA sequence detects disease as both domains have similar conceptual method of detection. Three important steps have been proposed to apply DNA sequence for NIDS: Convert the network traffic data into a form of DNA sequence using Cryptography encoding method; discover patterns of Short Tandem Repeats (STR) sequence for each network traffic attack using Teiresias algorithm; and conduct classification process depends upon STR sequence based on Horspool algorithm. 10{\%} KDD Cup 1999 data set is used for training phase. Correct KDD Cup 1999 data set is used for testing phase to evaluate the proposed method. The current experiment results show that the proposed system has obtained good results and these results are equal to 86.36{\%}, 49.69{\%}, and 77.65{\%} for detection rate, false alarm rate, and accuracy respectively. These results are considered as a better result when it is compared with the other previous basic algorithms. It is possible to conclude that DNA sequence has the potential for NIDS solution and it has potential improvement using a better encoding method.",
keywords = "DNA, Horspool algorithm, Network intrusion detection system, Teiresas algorithm",
author = "Rashid, {Omar Fitian} and {Ali Othman}, Zulaiha and Suhaila Zainudin",
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AU - Ali Othman, Zulaiha

AU - Zainudin, Suhaila

PY - 2017

Y1 - 2017

N2 - A novel method for Network Intrusion Detection System (NIDS) has been proposed, based on the concept of how DNA sequence detects disease as both domains have similar conceptual method of detection. Three important steps have been proposed to apply DNA sequence for NIDS: Convert the network traffic data into a form of DNA sequence using Cryptography encoding method; discover patterns of Short Tandem Repeats (STR) sequence for each network traffic attack using Teiresias algorithm; and conduct classification process depends upon STR sequence based on Horspool algorithm. 10% KDD Cup 1999 data set is used for training phase. Correct KDD Cup 1999 data set is used for testing phase to evaluate the proposed method. The current experiment results show that the proposed system has obtained good results and these results are equal to 86.36%, 49.69%, and 77.65% for detection rate, false alarm rate, and accuracy respectively. These results are considered as a better result when it is compared with the other previous basic algorithms. It is possible to conclude that DNA sequence has the potential for NIDS solution and it has potential improvement using a better encoding method.

AB - A novel method for Network Intrusion Detection System (NIDS) has been proposed, based on the concept of how DNA sequence detects disease as both domains have similar conceptual method of detection. Three important steps have been proposed to apply DNA sequence for NIDS: Convert the network traffic data into a form of DNA sequence using Cryptography encoding method; discover patterns of Short Tandem Repeats (STR) sequence for each network traffic attack using Teiresias algorithm; and conduct classification process depends upon STR sequence based on Horspool algorithm. 10% KDD Cup 1999 data set is used for training phase. Correct KDD Cup 1999 data set is used for testing phase to evaluate the proposed method. The current experiment results show that the proposed system has obtained good results and these results are equal to 86.36%, 49.69%, and 77.65% for detection rate, false alarm rate, and accuracy respectively. These results are considered as a better result when it is compared with the other previous basic algorithms. It is possible to conclude that DNA sequence has the potential for NIDS solution and it has potential improvement using a better encoding method.

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