A Survey of Parallel Intrusion Detection on Graphical Processors

被引：0

作者：

Vokorokos, Liberios ^{[1
]}

Ennert, Michal ^{[1
]}

Hartinger, Miroslav ^{[1
]}

Radusovsky, Jan ^{[1
]}

机构：

[1] Tech Univ Kosice, Dept Comp & Informat, Kosice, Slovakia

来源：

INFORMATICS 2013: PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON INFORMATICS | 2013年

关键词：

Intrusion detection; GPGPU; parallel computing; high performance computing; survey;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Intrusion detection is enormously developing field of informatics. This paper provides a survey of actual trends in intrusion detection in academic research. It presents a review about the evolution of intrusion detection systems with usage of general purpose computing on graphics processing units (GPGPU). There are many detection techniques but only some of them bring advantages of parallel computing implementation to graphical processors (GPU). The most common technique transformed into GPU is the technique of pattern matching. There is a number of intrusion detection tools using CPU tested in real network traffic.

引用

页码：50 / 55

页数：6

共 50 条

[41] An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection
Pao, Hsing-Kuo
Mao, Ching-Hao
Lee, Hahn-Ming
Chen, Chi-Dong
Faloutsos, Christos
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2012, 28 (02) : 243 - 262
[42] A Survey on Network Attacks and Intrusion Detection Systems
Latha, S.
Prakash, Sinthu Janita
2017 4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS), 2017,
[43] Intrusion detection and Big Heterogeneous Data: a Survey
Zuech R.
Khoshgoftaar T.M.
Wald R.
J. Big Data, 1 (1):
[44] Survey: Intrusion Detection Systems in Encrypted Traffic
Kovanen, Tiina
David, Gil
Hamalainen, Timo
INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2016/USMART 2016, 2016, 9870 : 281 - 293
[45] Intrusion detection techniques in cloud environment: A survey
Mishra, Preeti
Pilli, Emmanuel S.
Varadharajan, Vijay
Tupakula, Udaya
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 77 : 18 - 47
[46] SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism
Jin, Dongzi
Lu, Yiqin
Qin, Jiancheng
Cheng, Zhe
Mao, Zhongshu
COMPUTERS & SECURITY, 2020, 97
[47] Survey of learning methods in intrusion detection systems
1600, Institute of Electrical and Electronics Engineers Inc., United States
[48] A Survey of Intrusion Detection for In-Vehicle Networks
Wu, Wufei
Li, Renfa
Xie, Guoqi
An, Jiyao
Bai, Yang
Zhou, Jia
Li, Keqin
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (03) : 919 - 933
[49] A survey of intrusion detection in wireless network applications
Mitchell, Robert
Chen, Ing-Ray
COMPUTER COMMUNICATIONS, 2014, 42 : 1 - 23
[50] Graph Neural Networks for Intrusion Detection: A Survey
Bilot, Tristan
Madhoun, Nour El
Al Agha, Khaldoun
Zouaoui, Anis
IEEE ACCESS, 2023, 11 : 49114 - 49139

← 1 2 3 4 5 →