A Novel DNA Sequence Approach for Network Intrusion Detection System Based on Cryptography Encoding Method

Omar Fitian Rashid, Zulaiha Ali Othman, Suhaila Zainudin


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 potential for NIDS solution and it has potential improvement using a better encoding method.


DNA; Horspool Algorithm; Network Intrusion Detection System; Teiresas algorithm.

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DOI: http://dx.doi.org/10.18517/ijaseit.7.1.1569


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Published by INSIGHT - Indonesian Society for Knowledge and Human Development