1 option
Machine Learning and Data Analytics for Cyber Security
- Format:
- Book
- Author/Creator:
- Legg, Phil, Editor.
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- MDPI - Multidisciplinary Digital Publishing Institute 2025
- Language Note:
- English
- 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.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.