Anomaly Detection in Grid Computing Based on Vector Quantization

Hong-Wei Sun; Kwok-Yan Lam; Siu-Leung Chung; Ming Gu; Jia-Guang Sun

doi:10.1007/978-3-540-30208-7_129

Anomaly Detection in Grid Computing Based on Vector Quantization

Hong-Wei Sun, Kwok-Yan Lam, Siu-Leung Chung, Ming Gu, Jia-Guang Sun

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

3 Citations (Scopus)

Abstract

An efficient and effective intrusion detection model based the Vector Quantization (VQ) technique is proposed. This model is suitable for security monitoring in the grid computing environment. Experimental results based on this model have shown very promising performance in terms of high detection rate and low false alarm rate.

Original language	English
Pages (from-to)	883-886
Journal	Lecture Notes in Computer Science
Volume	3251
DOIs	https://doi.org/10.1007/978-3-540-30208-7_129
Publication status	Published - 2004
Externally published	Yes
Event	3rd International Conference on Grid and Cooperative Computing (GCC 2004) - Wuhan, China Duration: 21 Oct 2004 → 24 Oct 2004

Research Keywords

Grid Computing
Intrusion Detection
Network Security
Vector Quantization

Access Output

10.1007/978-3-540-30208-7_129

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{a591c6b421754ef8ab701517ebe34cf1,

title = "Anomaly Detection in Grid Computing Based on Vector Quantization",

abstract = "An efficient and effective intrusion detection model based the Vector Quantization (VQ) technique is proposed. This model is suitable for security monitoring in the grid computing environment. Experimental results based on this model have shown very promising performance in terms of high detection rate and low false alarm rate.",

keywords = "Grid Computing, Intrusion Detection, Network Security, Vector Quantization",

author = "Hong-Wei Sun and Kwok-Yan Lam and Siu-Leung Chung and Ming Gu and Jia-Guang Sun",

year = "2004",

doi = "10.1007/978-3-540-30208-7_129",

language = "English",

volume = "3251",

pages = "883--886",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

note = "3rd International Conference on Grid and Cooperative Computing (GCC 2004) ; Conference date: 21-10-2004 Through 24-10-2004",

}

TY - JOUR

T1 - Anomaly Detection in Grid Computing Based on Vector Quantization

AU - Sun, Hong-Wei

AU - Lam, Kwok-Yan

AU - Chung, Siu-Leung

AU - Gu, Ming

AU - Sun, Jia-Guang

PY - 2004

Y1 - 2004

N2 - An efficient and effective intrusion detection model based the Vector Quantization (VQ) technique is proposed. This model is suitable for security monitoring in the grid computing environment. Experimental results based on this model have shown very promising performance in terms of high detection rate and low false alarm rate.

AB - An efficient and effective intrusion detection model based the Vector Quantization (VQ) technique is proposed. This model is suitable for security monitoring in the grid computing environment. Experimental results based on this model have shown very promising performance in terms of high detection rate and low false alarm rate.

KW - Grid Computing

KW - Intrusion Detection

KW - Network Security

KW - Vector Quantization

UR - http://www.scopus.com/inward/record.url?scp=35048876372&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-35048876372&origin=recordpage

U2 - 10.1007/978-3-540-30208-7_129

DO - 10.1007/978-3-540-30208-7_129

M3 - RGC 21 - Publication in refereed journal

SN - 0302-9743

VL - 3251

SP - 883

EP - 886

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - 3rd International Conference on Grid and Cooperative Computing (GCC 2004)

Y2 - 21 October 2004 through 24 October 2004

ER -

Anomaly Detection in Grid Computing Based on Vector Quantization

Abstract

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this