A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems.

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Bibliographic Details
Title: A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems.
Authors: Ranpara R; Faculty of Computer Applications, Marwadi University, Rajkot, 360003, India. ripal.ranpara@marwadieducation.edu.in., Alsalman O; Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, 12372, Saudi Arabia. oalsalman@ksu.edu.sa., Kumar OP; Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India. omprakash.kumar@manipal.edu., Patel SK; Department of Computer Engineering, Marwadi University, Rajkot, 360003, India.
Source: Scientific reports [Sci Rep] 2025 Apr 18; Vol. 15 (1), pp. 13376. Date of Electronic Publication: 2025 Apr 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-025-93254-4