AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection

Cybersecurity models include provisions for legitimate user and agent authentication, as well as algorithms for detecting external threats, such as intruders and malicious software. In particular, we can define a continuum of cybersecurity measures ranging from user identification to risk-based and...

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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	History of engineering and technology Mechanical engineering and materials Technology: general issues adaptive model adversarial examples anomaly detection artificial neural network attack detection BERT-based multi-labeling biometric cryptosystem cooperative intelligent transportation systems (cITSs) cyber threats cyber-physical system cybersecurity datasets deep belief network (DBN) deep learning error-correcting codes evaluation metrics face recognition false negative rate formal ontology IDS Internet of Things intrusion detection iris identification machine learning malware detection mask matrix MITRE ATT&CK Matrix n/a network traffic neural networks NIDS non-targeted attack performance comparison portable executable malware risk identification smart grid statistical significance test targeted attack techniques classification tree-based ensemble vehicular ad-hoc networks (VANET) vulnerability
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection

Internet

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