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Titlebook: Explainable Artificial Intelligence for Cyber Security; Next Generation Arti Mohiuddin Ahmed,Sheikh Rabiul Islam,Al-Sakib Khan Book 2022 T

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发表于 2025-3-21 19:13:21 | 显示全部楼层 |阅读模式
书目名称Explainable Artificial Intelligence for Cyber Security
副标题Next Generation Arti
编辑Mohiuddin Ahmed,Sheikh Rabiul Islam,Al-Sakib Khan
视频video
概述Serves as an excellent reference for those who are working in cyber security and artificial intelligence.Presents recent research on Explainable Artificial Intelligence for Cyber Security.Provides int
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Explainable Artificial Intelligence for Cyber Security; Next Generation Arti Mohiuddin Ahmed,Sheikh Rabiul Islam,Al-Sakib Khan  Book 2022 T
描述.This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence..
出版日期Book 2022
关键词Computational Intelligence; Artificial Intelligence; Machine Learning; Deep Learning; Security Analytics
版次1
doihttps://doi.org/10.1007/978-3-030-96630-0
isbn_softcover978-3-030-96632-4
isbn_ebook978-3-030-96630-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Handbook of Recording Engineeringtechniques for Intrusion Detection has been presented. Finally a series of discussion showed how AI enforce the effectiveness of cyber security. At the end of this chapter the different challenges of application of AI in Cyber Security are explored.
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Reference Electrodes for Aqueous Solutions,hilosophy, psychology, and cognitive science, so that the explanation is not just based on the researcher’s intuition of what constitutes a good explanation. Domain knowledge is an abstract, fuzzy, and high-level concept over the problem domain. For instance, in an image classification problem, the
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Sarah Wittry,Diana Molinares,Susan Maltseretwork monitoring tools concentrating on the immediate impact and output of cyber assaults on the network. This helps to better comprehend the many directions in the area of network monitoring and cybersecurity research. In general, this chapter aims to study the different network monitoring techniq
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Ming J. Zuo,Jinsheng Huang,Way Kuoor many data-driven automated applications. But how may it affect the system’s security and trustworthiness? This chapter conducts a comprehensive study of machine learning applications in cybersecurity to indicate the need for explainability to address this question. While doing that, this chapter
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Safety and Risk in Engineering Designal care team to understand the logic and counter check the decisions before implementing on the patient for a better cause. Our aim is to highlight the reasons of adopting XAI in the healthcare domain in this book chapter and discuss the basic concept behind it on how it can contribute towards relia
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