Intrusion detection system using hybrid binary PSO and K-nearest neighborhood algorithm

At this time computer networks have been widely used to exchange confidential data information between server to mobile devices and desktop. Although there are several security methods such as access control, data encryption and the use of hardware or software as a firewall, unauthorized access thro...

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Bibliographic Details
Published in2017 11th International Conference on Information & Communication Technology and System (ICTS) pp. 181 - 186
Main Authors Syarif, Arief Rama, Gata, Windu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Anomaly detection
Classification algorithms
Computer networks
Intrusion detection
Intrusion Detection System (IDS)
k-nearest-neighbor (k-NN)
particle swarm optimization (PSO)
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Summary:At this time computer networks have been widely used to exchange confidential data information between server to mobile devices and desktop. Although there are several security methods such as access control, data encryption and the use of hardware or software as a firewall, unauthorized access through computer networks to obtain confidential data information is increasing. In this paper, we propose an intrusion detection mechanism based on binary particle swarm optimization (PSO) and k-nearest-neighbor (k-NN) algorithms. Preliminary experiments show that our approach successfully increased up to 2% of accuracy generated by k-nearest-neighbor (k-NN) algorithms.
ISBN:9781538628256
1538628252
ISSN:2996-1378
DOI:10.1109/ICTS.2017.8265667