Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks.

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Title: Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks.
Authors: Prasad KS; Department of CSE-AI&ML, MLR Institute of Technology, Hyderabad, India., Lydia EL; Department of Information Technology, VR Siddhartha Engineering College(A), Siddhartha Academy of Higher Education (Deemed to Be University), Vijayawada, India., Rajesh MV; Associate Dean School of Engineering, Professor in IT Department, Aditya University, Surampalem, India., Radhika K; AI&DS Department, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, 500075, India., Ramesh JVN; Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, India.; Department of CSE, Graphic Era Deemed to Be University, Dehradun, Uttarakhand, India., Neelima N; Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, 522302, India., Pokuri SR; School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India. pokuri.srinivasarao@vitap.ac.in.
Source: Scientific reports [Sci Rep] 2024 Dec 28; Vol. 14 (1), pp. 30833. Date of Electronic Publication: 2024 Dec 28.
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/s41598-024-81162-y