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Machine Learning and Data Analytics for Cyber Security

The aim of this reprint is to provide an overview of the current challenges within the cyber security community today, as recognized by our contributors. This reprint provides 16 papers from the Topical Collection on “Machine Learning and Data Analytics for Cyber Security” that cover topics of large...

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Gardado en:
Formato: Online
Idioma:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2025
Subjects:
Machine learning
Data Analytics
Cyber Security
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Acceso en liña:ONIX_20250812T095121_9783725833597_177
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Summary:The aim of this reprint is to provide an overview of the current challenges within the cyber security community today, as recognized by our contributors. This reprint provides 16 papers from the Topical Collection on “Machine Learning and Data Analytics for Cyber Security” that cover topics of large language models for cybersecurity claim classification, adversarial machine learning attacks against intrusion detection systems, the detection of PLC process control anomalies, identifying session-replay bots compared to human users, and mitigating against side-channel attacks.

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