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Bio/Nature-inspired algorithms in A.I. for malicious activity detection

Procopiou, A. & Komninos, N. ORCID: 0000-0003-2776-1283 (2019). Bio/Nature-inspired algorithms in A.I. for malicious activity detection. In: El-Alfy, E-S. M., Elroweissy, M., Fulp, E. W. & Mazurczyk, W. (Eds.), Nature-Inspired Cyber Security and Resiliency: Fundamentals, techniques and applications. . IET.

Publication Type: Book Section
Additional Information: This is the submitted version of an chapter published by the Institution fof Engineering and Technology. The version of record is to be available at
Publisher Keywords: computer network security; Internet of Things; biomimetics; computer crime; invasive software; learning algorithms; malicious software; Internet of Things; bio-inspired algorithm detection; IoT; intrusion detection; bio-inspired techniques; DDoS
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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