Abstract
In this work we realized special hardware for intrusion detection systems (IDS) based on behavioural biometrics and using bionformatics’ Smith-Waterman algorithm. As far as we know there are no published hardware implementations of bioinformatics algorithms used for IDS. It is shown in the paper that the use of hardware can efficiently exploit the inherent parallelism of the algorithm and reach Gigabit data processing rates that are required for current communications. Each processing unit can be replicated many times on deployed Field Programmable Gate Array (FPGA) and depending on the capacity of the device, almost proportionally increase the throughput.
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Bojanić, S., Pejović, V., Caffarena, G., Milovanović, V., Carreras, C., Popović, J. (2009). Behavioural Biometrics Hardware Based on Bioinformatics Matching. In: Herrero, Á., Gastaldo, P., Zunino, R., Corchado, E. (eds) Computational Intelligence in Security for Information Systems. Advances in Intelligent and Soft Computing, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04091-7_21
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DOI: https://doi.org/10.1007/978-3-642-04091-7_21
Publisher Name: Springer, Berlin, Heidelberg
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