Machine Learning for Cyber Security : third international conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020 : proceedings. Part I / Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang (eds.).
2020
Q325.5
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Citation
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Details
Title
Machine Learning for Cyber Security : third international conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020 : proceedings. Part I / Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang (eds.).
Meeting Name
ISBN
9783030622237 (electronic book)
3030622231 (electronic book)
9783030622220
3030622231 (electronic book)
9783030622220
Published
Cham : Springer, [2020]
Language
English
Description
1 online resource (xxvii, 650 pages) : illustrations (some color).
Item Number
10.1007/978-3-030-62223-7 doi
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
005.8
005.8
Summary
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Guangzhou, 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.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 22, 2021).
Added Author
Series
Lecture notes in computer science ; 12486.
LNCS sublibrary. SL 4, Security and cryptology.
LNCS sublibrary. SL 4, Security and cryptology.
Available in Other Form
3030622223
Linked Resources
Record Appears in
Table of Contents
Machine learning
Security. Privacy-preserving
Cyber security
Adversarial machine Learning
Malware detection and analysis
Data mining
AI.
Security. Privacy-preserving
Cyber security
Adversarial machine Learning
Malware detection and analysis
Data mining
AI.