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The Role of AI-ML Techniques in Cyber Security
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Author(s): Sima Das (Maulana Abul Kalam Azad University of Technology, Kolkata, India), Ajay Kumar Balmiki (Maulana Abul Kalam Azad University of Technology, Kolkata, India)and Kaushik Mazumdar (Indian Institute of Technology (Indian School of Mines), Dhanbad, India)
Copyright: 2022
Pages: 17
Source title:
Methods, Implementation, and Application of Cyber Security Intelligence and Analytics
Source Author(s)/Editor(s): Jena Om Prakash (Ravenshaw University, India), H.L. Gururaj (Vidyavardhaka College of Engineering, India), M.R. Pooja (Vidyavardhaka College of Engineering, India)and S.P. Pavan Kumar (Vidyavardhaka College of Engineering, India)
DOI: 10.4018/978-1-6684-3991-3.ch003
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Abstract
Digital protection is the act and protocol to protect personal computers, mobile, electronic devices, and data from malicious attacks. Artificial intelligence (AI) and machine learning (ML) are presently essential for our daily existence, and this incorporates network protection. AI/ML can recognize vulnerabilities and lessen occurrence reaction time. Due to this unprecedented test, AI-based instruments for network safety have arisen to help data security groups decrease break chance and further develop their security to act proficiently and successfully. Simulated intelligence and AI developed basic advances in information security, as they can quickly examine a huge quantity of datasets and recognize various kinds of network stranded and breaches – from malware, one can pursue advantage to distinguishing unsafe comportment which might prompt a phishing attack or downloading malicious program. The advancements learned over the system can be used to identify new types of attacks in the future.
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