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

共 50 条

[41] Role of statistics in the era of data science
Karandikar, Rajeeva L.
CURRENT SCIENCE, 2021, 121 (08): : 1016 - 1021
[42] Gait biomechanics in the era of data science
Ferber, Reed
Osis, Sean T.
Hicks, Jennifer L.
Delp, Scott L.
JOURNAL OF BIOMECHANICS, 2016, 49 (16) : 3759 - 3761
[43] Social Science in the Era of Big Data
Gonzalez-Bailon, Sandra }
POLICY AND INTERNET, 2013, 5 (02): : 147 - 160
[44] Computational Thinking in the Era of Data Science
Mike, Koby
Ragonis, Noa
Rosenberg-Kima, Rinat B.
Hazzan, Orit
COMMUNICATIONS OF THE ACM, 2022, 65 (08) : 33 - 35
[45] Fairness & friends in the data science era
Barbara Catania
Giovanna Guerrini
Chiara Accinelli
AI & SOCIETY, 2023, 38 : 721 - 731
[46] THE OVERTURE TO A NEW ERA IN GALACTIC SCIENCE: GAIA'S FIRST DATA RELEASE
Altmann, M.
Bouquillon, S.
VII REUNION DE ASTRONOMIA DINAMICA EN LATINOAMERICA (ADELA 2016), 2018, 50 : 7 - 10
[47] New services, new travelers, old models? Directions to pioneer public transport models in the era of big data
Fonzone, Achille
Schmoecker, Jan-Dirk
Viti, Francesco
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 20 (04) : 311 - 315
[48] Examining Health Disparities Using Data Science
Chase, Jo-Ana D.
Vega, Alma
RESEARCH IN GERONTOLOGICAL NURSING, 2016, 9 (03) : 106 - 107
[49] A Review of Generative Models in Generating Synthetic Attack Data for Cybersecurity
Agrawal, Garima
Kaur, Amardeep
Myneni, Sowmya
ELECTRONICS, 2024, 13 (02)
[50] Whose science? A new era in regulatory "science wars"
Wagner, Wendy
Fisher, Elizabeth
Pascual, Pasky
SCIENCE, 2018, 362 (6415) : 636 - 639

← 1 2 3 4 5 →