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Intelligent Approaches to Cyber Security

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  • Дата: 9-08-2023, 22:43
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Название: Intelligent Approaches to Cyber Security
Автор: Narendra M. Shekokar, Hari Vasudevan, Surya S. Durbha, Antonis Michalas
Издательство: CRC Press
Год: 2024
Страниц: 210
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security.

As the internet is a very open and unprotected method of communication, it has attracted numerous miscreants with nefarious purposes. These criminals have made repeated attempts to get information and misuse it. Hence, the number of cyber-attacks and cybercrimes has increased exponentially with the growth of high-speed internet users. Cyber security is a significant issue in this setting that needs in-depth research and analysis.

The advent of technologies like Machine Learning, Deep Learning, Artificial Intelligence (AI) and blockchain have brought about a paradigm shift in the way security issues are handled. Incorporating these technologies in different aspects of cyber security has increased the robustness of various security mechanisms. Hence, the main aim of the book is to study the impact of these technologies on cyber security.

Authentication and access control are ways in which a layer of security can be implemented, and, hence, studying the same is important. The employment and the impact of state-of-the-art technologies like Machine Learning, Deep Learning, Artificial Intelligence and blockchain in different fields are also studied and covered.

The book is divided into a number of sections to arrange its contents effectively. The themes discussed vary from the requirements of technologies like Machine Learning, Deep Learning and blockchain in many areas to the usefulness of these technologies in cyber security. The book also offers new developments and research concerns relevant to the subject.

Eleven chapters make up the book, and address themes like comprehending the importance of Machine Learning and Deep Learning, as well as how these technologies – along with blockchain – can be critical to many aspects of cyber security.

Features:

Role of Deep Learning and Machine Learning in the Field of Cyber Security
Using ML to defend against cyber-attacks
Using DL to defend against cyber-attacks
Using blockchain to defend against cyber-attacks

This reference text will be useful for students and researchers interested and working in future cyber security issues in the light of emerging technology in the cyber world.

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