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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Manylion Llyfryddiaeth
Fformat:	Online
Iaith:	Saesneg
Cyhoeddwyd:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Pynciau:	Internet of Things cybersecurity cyber threats malware detection machine learning network traffic cooperative intelligent transportation systems (cITSs) IDS vehicular ad-hoc networks (VANET) adaptive model deep belief network (DBN) NIDS deep learning false negative rate artificial neural network MITRE ATT&CK Matrix techniques classification BERT-based multi-labeling formal ontology risk identification vulnerability portable executable malware tree-based ensemble performance comparison statistical significance test adversarial examples face recognition mask matrix targeted attack non-targeted attack anomaly detection attack detection cyber-physical system datasets evaluation metrics biometric cryptosystem iris identification error-correcting codes intrusion detection smart grid neural networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
Mynediad Ar-lein:	ONIX_20230808_9783036582641_27
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

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ONIX_20230808_9783036582641_27

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

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