Work place: Department of Computer & Information Systems, Adeleke University, Ede, State of Osun, Nigeria
E-mail: longeolumide@fulbrightmail.org
Website:
Research Interests: Computer systems and computational processes, Computational Learning Theory, Computer Architecture and Organization, Network Security, Information-Theoretic Security
Biography
Longe Olumide (PhD) is an Associate Professor in the Department of Computer & Information Systems, Odeleke University, Ede, State of Osun, Nigeria. His research is focused on using social theories, machine learning and computer security models to design cyber security systems and explain cyber victimization. He can be reached at longeolumide@fulbrightmail.org
By Longe Olumide Babatope Lawal Babatunde Ibitola Ayobami
DOI: https://doi.org/10.5815/ijisa.2014.02.08, Pub. Date: 8 Jan. 2014
Network Intrusion Detection Systems (NIDSs) can be composed of a potentially large number of sensors, which monitor the traffic flowing in the network. Deciding where sensors should be placed and what information they need in order to detect the desired attacks can be a demanding task for network administrators, one that should be made as automatic as possible. Some few works have been done on positioning sensors using attack graph analysis, formal logic-based approach and Network Simulator NS2 which were studied to determine a strategy for sensors placement on the network. This paper analysed the major considerations for sensors placements, typical sensors deployments in NIDS, and established an extended model for sensors deployment to further strengthen the network for intrusion detection which was based on the escape of some malicious activities through the firewall.
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