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

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@article{IJASEIT1569,
   author = {Omar Fitian Rashid and Zulaiha Ali Othman and Suhaila Zainudin},
   title = {A Novel DNA Sequence Approach for Network Intrusion Detection System Based on Cryptography Encoding Method},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {1},
   year = {2017},
   pages = {183--189},
   keywords = {DNA; Horspool Algorithm; Network Intrusion Detection System; Teiresas algorithm.},
   abstract = {

AbstractA 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.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1569},    doi = {10.18517/ijaseit.7.1.1569} }

EndNote

%A Rashid, Omar Fitian
%A Othman, Zulaiha Ali
%A Zainudin, Suhaila
%D 2017
%T A Novel DNA Sequence Approach for Network Intrusion Detection System Based on Cryptography Encoding Method
%B 2017
%9 DNA; Horspool Algorithm; Network Intrusion Detection System; Teiresas algorithm.
%! A Novel DNA Sequence Approach for Network Intrusion Detection System Based on Cryptography Encoding Method
%K DNA; Horspool Algorithm; Network Intrusion Detection System; Teiresas algorithm.
%X 

AbstractA 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.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1569 %R doi:10.18517/ijaseit.7.1.1569 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 1 %@ 2088-5334

IEEE

Omar Fitian Rashid,Zulaiha Ali Othman and Suhaila Zainudin,"A Novel DNA Sequence Approach for Network Intrusion Detection System Based on Cryptography Encoding Method," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 1, pp. 183-189, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.1.1569.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Rashid, Omar Fitian
AU  - Othman, Zulaiha Ali
AU  - Zainudin, Suhaila
PY  - 2017
TI  - A Novel DNA Sequence Approach for Network Intrusion Detection System Based on Cryptography Encoding Method
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 1
Y2  - 2017
SP  - 183
EP  - 189
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - DNA; Horspool Algorithm; Network Intrusion Detection System; Teiresas algorithm.
N2  - 

AbstractA 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.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1569 DO - 10.18517/ijaseit.7.1.1569

RefWorks

RT Journal Article
ID 1569
A1 Rashid, Omar Fitian
A1 Othman, Zulaiha Ali
A1 Zainudin, Suhaila
T1 A Novel DNA Sequence Approach for Network Intrusion Detection System Based on Cryptography Encoding Method
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 1
YR 2017
SP 183
OP 189
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 DNA; Horspool Algorithm; Network Intrusion Detection System; Teiresas algorithm.
AB 

AbstractA 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.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1569 DO - 10.18517/ijaseit.7.1.1569