Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Gang Wang; Arridhana Ciptadi; Ali Ahmadzadeh

doi:10.1007/978-3-030-59621-7

Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Gang Wang (Editor), Arridhana Ciptadi (Editor), Ali Ahmadzadeh (Editor)

Research output: Book/Report/Conference proceeding › Conference proceeding › peer-review

Original language	English (US)
Publisher	Springer
ISBN (Electronic)	9783030596217
ISBN (Print)	9783030596200
DOIs	https://doi.org/10.1007/978-3-030-59621-7
State	Published - 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1271
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Keywords

artificial intelligence
signal processing
operating systems
network security
network protocols
malware
machine learning
intrusion detection
information systems
data security
cyber-attacks
cryptography
computer systems
computer security
computer crime

Online availability

10.1007/978-3-030-59621-7

Library availability

Discover UIUC Full Text

1 Foreword/postscript

Preface
Wang, G., Ciptadi, A. & Ahmadzadeh, A., 2020, Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings. Wang, G., Ciptadi, A. & Ahmadzadeh, A. (eds.). Springer, p. v (Communications in Computer and Information Science; vol. 1271).
Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

Cite this

Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings. / Wang, Gang (Editor); Ciptadi, Arridhana (Editor); Ahmadzadeh, Ali (Editor).
Springer, 2020. (Communications in Computer and Information Science; Vol. 1271).

Research output: Book/Report/Conference proceeding › Conference proceeding › peer-review

@book{02b0c70565aa46029cd67aae03c84cc8,

title = "Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings",

keywords = "artificial intelligence, signal processing, operating systems, network security, network protocols, malware, machine learning, intrusion detection, information systems, data security, cyber-attacks, cryptography, computer systems, computer security, computer crime",

editor = "Gang Wang and Arridhana Ciptadi and Ali Ahmadzadeh",

year = "2020",

doi = "10.1007/978-3-030-59621-7",

language = "English (US)",

isbn = "9783030596200",

series = "Communications in Computer and Information Science",

publisher = "Springer",

address = "Germany",

}

TY - BOOK

T1 - Deployable Machine Learning for Security Defense

T2 - First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

A2 - Wang, Gang

A2 - Ciptadi, Arridhana

A2 - Ahmadzadeh, Ali

PY - 2020

Y1 - 2020

KW - artificial intelligence

KW - signal processing

KW - operating systems

KW - network security

KW - network protocols

KW - malware

KW - machine learning

KW - intrusion detection

KW - information systems

KW - data security

KW - cyber-attacks

KW - cryptography

KW - computer systems

KW - computer security

KW - computer crime

U2 - 10.1007/978-3-030-59621-7

DO - 10.1007/978-3-030-59621-7

M3 - Conference proceeding

SN - 9783030596200

T3 - Communications in Computer and Information Science

BT - Deployable Machine Learning for Security Defense

PB - Springer

ER -

Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Publication series

Keywords

Online availability

Library availability

Research output

Preface

Cite this