Evading machine learning based network intrusion detection systems with GANs

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English (US)
Title of host publication	Game Theory and Machine Learning for Cyber Security
Publisher	John Wiley and Sons Inc.
Pages	337-356
Number of pages	20
ISBN (Electronic)	9781119723950
ISBN (Print)	9781119723943
State	Published - Jun 16 2021

All Science Journal Classification (ASJC) codes

@inbook{378861ef2571432ab553e06f6c8ecd3d,

title = "Evading machine learning based network intrusion detection systems with GANs",

author = "Zolbayar, \{Bolor Erdene\} and Ryan Sheatsley and Patrick McDaniel and Mike Weisman",

year = "2021",

month = jun,

day = "16",

language = "English (US)",

isbn = "9781119723943",

pages = "337--356",

booktitle = "Game Theory and Machine Learning for Cyber Security",

publisher = "John Wiley and Sons Inc.",

address = "United States",

}

TY - CHAP

T1 - Evading machine learning based network intrusion detection systems with GANs

AU - Zolbayar, Bolor Erdene

AU - Sheatsley, Ryan

AU - McDaniel, Patrick

AU - Weisman, Mike

PY - 2021/6/16

Y1 - 2021/6/16

UR - https://www.scopus.com/pages/publications/85136775176

UR - https://www.scopus.com/pages/publications/85136775176#tab=citedBy

M3 - Chapter

AN - SCOPUS:85136775176

SN - 9781119723943

SP - 337

EP - 356

BT - Game Theory and Machine Learning for Cyber Security

PB - John Wiley and Sons Inc.

ER -