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Approaches for Detecting and Predicting Attacks Based on Deep and Reinforcement Learning to Improve Information Security
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Author(s): Nayana Hegde (Reva University, India)and Sunilkumar S. Manvi (REVA University, India)
Copyright: 2023
Pages: 18
Source title:
Convergence of Deep Learning and Internet of Things: Computing and Technology
Source Author(s)/Editor(s): T. Kavitha (New Horizon College of Engineering (Autonomous), India & Visvesvaraya Technological University, India), G. Senbagavalli (AMC Engineering College, Visvesvaraya Technological University, India), Deepika Koundal (University of Petroleum and Energy Studies, Dehradun, India), Yanhui Guo (University of Illinois, USA)and Deepak Jain (Chongqing University of Posts and Telecommunications, China)
DOI: 10.4018/978-1-6684-6275-1.ch006
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Abstract
The continued growth and widespread use of the internet benefit many network users in various ways. Meanwhile, network protection becomes increasingly essential as the internet becomes more widely used. Though, as the number of internet-connected systems in finance, e-commerce, and the military grows, they are becoming targets of network attacks, posing a noteworthy challenge and causing significant harm. Essentially, practical strategies for detecting and defending against attacks, as well as maintaining network protection, are needed. Furthermore, various types of attacks must typically be dealt with in different ways. This chapter summarizes some of the important deep learning techniques and reinforcement techniques for information security by providing various methods for attack detection and corrections.
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