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 https://www.theiet.org/resources/books/security/nature-cyb-secur.cfm. |
| 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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