Cybersecurity in the Era of Data Science: Examining New Adversarial Models

被引：2

作者：

Sherman, Alan T. ^{[1
]}

Oliva, Linda ^{[2
]}

Golaszewski, Enis ^{[3
]}

Phatak, Dhananjay ^{[4
]}

Scheponik, Travis ^{[5
]}

Herman, Geoffrey L. ^{[6
]}

Choi, Dong San ^{[7
]}

Offenberger, Spencer E. ^{[8
]}

Peterson, Peter ^{[9
]}

Dykstra, Josiah ^{[10
]}

Bard, Gregory V. ^{[11
]}

Chattopadhyay, Ankur ^{[12
]}

Sharevski, Filipo ^{[13
]}

Verma, Rakesh ^{[14
]}

Vrecenar, Ryan ^{[15
]}

机构：

[1] Univ Maryland Baltimore Cty, Comp Sci, Baltimore, MD 21228 USA

[2] Univ Maryland Baltimore Cty, Educ Dept, Baltimore, MD 21228 USA

[3] Univ Maryland Baltimore Cty, Baltimore, MD 21228 USA

[4] Univ Maryland Baltimore Cty, Comp Sci & Elect Engn CSEE Dept, Baltimore, MD 21228 USA

[5] Univ Maryland Baltimore Cty, Comp Sci & Engn Dept, Baltimore, MD 21228 USA

[6] Univ Illinois, Comp Sci, Champaign, IL USA

[7] Univ Illinois, Champaign, IL USA

[8] Univ Illinois, Elect & Comp Engn, Champaign, IL USA

[9] Univ Minnesota, Duluth, MN 55812 USA

[10] US Dept Def, Washington, DC 20305 USA

[11] Univ Wisconsin Stout, Dept Math Stat & Comp Sci, Menomonie, WI USA

[12] Univ Wisconsin, Dept Informat & Comp Sci, Green Bay, WI 54302 USA

[13] Depaul Univ, Coll Comp & Digital Media, Chicago, IL 60604 USA

[14] Univ Houston, Comp Sci, Houston, TX USA

[15] Texas A&M Univ, College Stn, TX USA

来源：

IEEE SECURITY & PRIVACY | 2019年 / 17卷 / 06期

基金：

美国国家科学基金会;

关键词：

Data models; Malware; Artificial intelligence; Computer security; Big Data; Tools; Real-time systems;

D O I：

10.1109/MSEC.2019.2929812

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The ever-increasing volume, variety, and velocity of threats dictates a big data problem in cybersecurity and necessitates deployment of AI and machine-learning (ML) algorithms. The limitations and vulnerabilities of AI/ML systems, combined with complexity of data, introduce a new adversarial model, which is defined and discussed in this article.

引用

页码：77 / 83

页数：7

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