Machine Learning for Cyber Security: Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part I
Author:   Xiaofeng Chen ,  Hongyang Yan ,  Qiben Yan ,  Xiangliang Zhang
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12486
ISBN:  

9783030622220


Pages:   650
Publication Date:   11 November 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning for Cyber Security: Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part I


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Overview

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020.The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning,  Malware detection and analysis,  Data mining, and  Artificial Intelligence.

Full Product Details

Author:   Xiaofeng Chen ,  Hongyang Yan ,  Qiben Yan ,  Xiangliang Zhang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12486
Weight:   1.027kg
ISBN:  

9783030622220


ISBN 10:   3030622223
Pages:   650
Publication Date:   11 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Machine learning.- Security. Privacy-preserving.- Cyber security.-  Adversarial machine Learning.- Malware detection and analysis.- Data mining.- AI.

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