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Explainable artificial intelligence for cyber securitynext generation artificial intelligence /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Explainable artificial intelligence for cyber securityedited by Mohiuddin Ahmed ... [et al.].
Reminder of title:	next generation artificial intelligence /
other author:	Ahmed, Mohiuddin.
Published:	Cham :Springer International Publishing :2022.
Description:	xii, 280 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-3-030-96630-0
ISBN:	9783030966300$q(electronic bk.)

Explainable artificial intelligence for cyber securitynext generation artificial intelligence /
Explainable artificial intelligence for cyber securitynext generation artificial intelligence /[electronic resource] :edited by Mohiuddin Ahmed ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 280 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10251860-9503 ;. - Studies in computational intelligence ;v. 216..

The Past, Present, and Prospective Future of XAI: A Comprehensive Review -- An Overview of Explainable Artificial Intelligence for Cyber Security -- Artificial Intelligence: Practical & Ethical Challenges -- Domain Knowledge-aided Explainable Artificial Intelligence -- Machine Learning based IDS for Cyberattack Classification -- Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection -- Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats -- Network Forensics in the Era of Artificial Intelligence -- Obfuscation-based Mechanisms in Location-based Privacy Protection -- Intelligent Radio Frequency Fingerprinting to Identify Malicious Tags in the Internet of Things -- Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform -- Explainable Artificial Intelligence in Sustainable Smart Healthcare.

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.

ISBN: 9783030966300$q(electronic bk.)

Standard No.: 10.1007/978-3-030-96630-0doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335 / .E86 2022

Dewey Class. No.: 006.3

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505 0 $a The Past, Present, and Prospective Future of XAI: A Comprehensive Review -- An Overview of Explainable Artificial Intelligence for Cyber Security -- Artificial Intelligence: Practical & Ethical Challenges -- Domain Knowledge-aided Explainable Artificial Intelligence -- Machine Learning based IDS for Cyberattack Classification -- Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection -- Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats -- Network Forensics in the Era of Artificial Intelligence -- Obfuscation-based Mechanisms in Location-based Privacy Protection -- Intelligent Radio Frequency Fingerprinting to Identify Malicious Tags in the Internet of Things -- Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform -- Explainable Artificial Intelligence in Sustainable Smart Healthcare.
520 $a 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.
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