Abstract
Denials of service attacks are well-known as one of the major threats in today’s Internet services. It is hard to detect this type of attack, because in most cases it can not be detected with signature-based methods, because DDoS traffic often looks like normal.
This paper proposes an approach of the indirect detection of DDoS attacks and anomalies in an abuse of system resources, based on the system performance monitoring with an artificial immune system algorithm. This approach can quickly detect and warn about an abnormal server load, some types of DDoS attacks, mining scripts, botnet scripts, and ransomware.
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Burmaka, I., Zlobin, S., Lytvyn, S., Nekhai, V. (2020). Detecting Flood Attacks and Abnormal System Usage with Artificial Immune System. In: Palagin, A., Anisimov, A., Morozov, A., Shkarlet, S. (eds) Mathematical Modeling and Simulation of Systems. MODS 2019. Advances in Intelligent Systems and Computing, vol 1019. Springer, Cham. https://doi.org/10.1007/978-3-030-25741-5_14
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DOI: https://doi.org/10.1007/978-3-030-25741-5_14
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