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...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
|---|---|
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20250812T095121_9783725833597_177 |
| ট্যাগগুলো: |
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| _version_ | 1869516686133035008 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-165228 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1652282025-08-12T08:14:33Z Machine Learning and Data Analytics for Cyber Security Legg, Phil Giacinto, Giorgio 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 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. 2025-08-12T08:14:31Z 2025-08-12T08:14:31Z 2025 book ONIX_20250812T095121_9783725833597_177 9783725833597 9783725833603 https://directory.doabooks.org/handle/20.500.12854/165228 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10756 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3360-3 10.3390/books978-3-7258-3360-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725833597 9783725833603 362 open access |
| spellingShingle | 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 Machine Learning and Data Analytics for Cyber Security |
| title | Machine Learning and Data Analytics for Cyber Security |
| title_full | Machine Learning and Data Analytics for Cyber Security |
| title_fullStr | Machine Learning and Data Analytics for Cyber Security |
| title_full_unstemmed | Machine Learning and Data Analytics for Cyber Security |
| title_short | Machine Learning and Data Analytics for Cyber Security |
| title_sort | machine learning and data analytics for cyber security |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20250812T095121_9783725833597_177 |