Browsing by Author "Adeola, O. O."

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    A Hybridized Semi-Global Sequence Alignment Algorithm for Intrusion- Detection Systems
    (African Journal of Computing & ICTs (AFRJCICT), 2018) Oladele, Tinuke Omolewa; Adeola, O. O.; Emmanuel, J. A.
    In modern day computing, with persistent remote terminal access, transmissions and virtual networks, conventional methods find it difficult to provide adequate security for the data, information or the service. This challenge deserves new mechanisms to guarantee that the data or information being sent is well secured. A correct system will take into cognizance the protection of the data it processes and the information it stores and sends out at due time. This research work solves the problem of masquerade intrusion into data or information kept on the computer system by reducing the false positive alarm and false negative alarm which increases the true positive proportionately. The Semi - Global Alignment Algorithm which is a hybrid of Smith Waterman Alignment Algorithm is regarded as a dynamic and efficient technique in finding out the attacks. The reports of high false positive rate and false negative rate in the Semi-Global Algorithm have not been reduced to an acceptable level. This study therefore, proposes an improvement on the Semi - Global alignment Algorithm to develop a masquerade intrusion detection system. Experiment was conducted and the performance of the new algorithm was evaluated using Schonlau Et Al (SEA) dataset. The results give hit rate of about 90% and false positive, which show that the improvement on Semi - Global Alignment Algorithm yields increase in the percentage of hit rate of the matching and reduces the value of false positive rate as well as false negative of the alignment.