Work place: Department of Computer Systems, Lead City University, Ibadan, Oyo State, Nigeria
E-mail: ibitolaayobami@yahoo.com
Website:
Research Interests: Computer Science & Information Technology, Applied computer science, Computer Architecture and Organization, Theoretical Computer Science
Biography
Mr. Ayobami Ibitola lectures at the Department of Computer & Information Sciences, Lead City University, Ibadan, Nigeria. He holds the Bachelor’s and Master’s degree in Computer Science from the Department of Computer Science, University of Ibadan, Ibadan, Nigeria in 2006 and 2009 respectively. His research focuses on intelligent and knowledge-based systems, ICT diffusion and system interoperability, He can be reached at ibitolaayobami@yahoo.com or on phone through +2348035135700.
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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