Title: An intrusion detection technique based on continuous binary communication channels

Authors: Nana K. Ampah; Cajetan M. Akujuobi; Mathew N.O. Sadiku; Shumon Alam

Addresses: Jacobs Engineering Group Inc., Houston, Texas 77034, USA. ' College of Science, Mathematics, Technology and Engineering, Alabama State University, Montgomery, Alabama 36101, USA. ' Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, Texas 77446, USA. ' Center of Excellence for Communication Systems Technology Research, Prairie View A&M University, Prairie View, Texas 77446, USA

Abstract: Choosing Intrusion Detection Systems (IDSs) is difficult owing to the availability of different IDS techniques, the nature of attacks and the inability of IDS techniques to guarantee total security. The use of Intrusion Prevention Systems (IPSs) as a first line of defence does not prevent all attacks, so IDSs are needed as a second line of defence. Anomaly and signature-based techniques are the main approaches employed by IDSs. This new IDS technique is based on two main anomaly detection techniques: statistical and predictive pattern generation techniques. This IDS will detect both known and unknown attacks using signature-based and anomaly techniques.

Keywords: continuous binary communication channels; intrusion detection systems; intrusion prevention systems; anomaly detection; signature-based detection; statistical pattern generation; predictive pattern generation; enterprise networks.

DOI: 10.1504/IJSN.2011.043674

International Journal of Security and Networks, 2011 Vol.6 No.2/3, pp.174 - 180

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 11 Nov 2011 *

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