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Explainable artificial intelligence ...

Ahmed, Mohiuddin.

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Explainable artificial intelligence for cyber security = next generation artificial intelligence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Explainable artificial intelligence for cyber security/ edited by Mohiuddin Ahmed ... [et al.].
其他題名:	next generation artificial intelligence /
其他作者:	Ahmed, Mohiuddin.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xii, 280 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-96630-0
ISBN:	9783030966300

Explainable artificial intelligence for cyber security = next 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. 1025..

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

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

516317
Artificial intelligence.

LC Class. No.: Q335 / .E86 2022

Dewey Class. No.: 006.3

Explainable artificial intelligence for cyber security = next generation artificial intelligence /
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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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