The precaution of the network virus and the quantitative analysis of the epidemic situation

Bai Ling Wang; Bin Xing Fang; Xiao Chun Yun

The precaution of the network virus and the quantitative analysis of the epidemic situation

Bai Ling Wang^*
, Bin Xing Fang
, Xiao Chun Yun

^*Corresponding author for this work

School of Computer Science and Technology (School of Software)

Natl. Comp. Netwk./Info. S.S.A.C.
Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Comparing with the traditional host virus, the network virus has more attack ability and is more infectious in open network environment. So it is necessary to set a national virus precaution system to detect and control the network virus epidemic situation. In this paper, a distributed broadband network virus precaution model is introduced. It analyzes the data in the network and discovers the coming virus epidemic situation in time. The quantitative analysis of broadband network virus epidemic situation is given, too. According to the result, we can collect the scale, the speed and the direction of the epidemic situation. Consequently, we can establish effect control policy to reduce harm.

Original language	English
Title of host publication	International Conference on Machine Learning and Cybernetics
Pages	289-292
Number of pages	4
State	Published - 2003
Event	2003 International Conference on Machine Learning and Cybernetics - Xi'an, China Duration: 2 Nov 2003 → 5 Nov 2003

Publication series

Name	International Conference on Machine Learning and Cybernetics
Volume	1

Conference

Conference	2003 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Xi'an
Period	2/11/03 → 5/11/03

Keywords

Broadband Network Virus Precaution
Distribute Systems Architecture
Network Virus Checkup
Quantitative Analysis

Cite this

@inproceedings{57a5e5b53e16452aa9abab4a3639df56,

title = "The precaution of the network virus and the quantitative analysis of the epidemic situation",

abstract = "Comparing with the traditional host virus, the network virus has more attack ability and is more infectious in open network environment. So it is necessary to set a national virus precaution system to detect and control the network virus epidemic situation. In this paper, a distributed broadband network virus precaution model is introduced. It analyzes the data in the network and discovers the coming virus epidemic situation in time. The quantitative analysis of broadband network virus epidemic situation is given, too. According to the result, we can collect the scale, the speed and the direction of the epidemic situation. Consequently, we can establish effect control policy to reduce harm.",

keywords = "Broadband Network Virus Precaution, Distribute Systems Architecture, Network Virus Checkup, Quantitative Analysis",

author = "Wang, \{Bai Ling\} and Fang, \{Bin Xing\} and Yun, \{Xiao Chun\}",

year = "2003",

language = "英语",

isbn = "0780378652",

series = "International Conference on Machine Learning and Cybernetics",

pages = "289--292",

booktitle = "International Conference on Machine Learning and Cybernetics",

note = "2003 International Conference on Machine Learning and Cybernetics ; Conference date: 02-11-2003 Through 05-11-2003",

}

The precaution of the network virus and the quantitative analysis of the epidemic situation. / Wang, Bai Ling; Fang, Bin Xing; Yun, Xiao Chun.
International Conference on Machine Learning and Cybernetics. 2003. p. 289-292 (International Conference on Machine Learning and Cybernetics; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The precaution of the network virus and the quantitative analysis of the epidemic situation

AU - Wang, Bai Ling

AU - Fang, Bin Xing

AU - Yun, Xiao Chun

PY - 2003

Y1 - 2003

N2 - Comparing with the traditional host virus, the network virus has more attack ability and is more infectious in open network environment. So it is necessary to set a national virus precaution system to detect and control the network virus epidemic situation. In this paper, a distributed broadband network virus precaution model is introduced. It analyzes the data in the network and discovers the coming virus epidemic situation in time. The quantitative analysis of broadband network virus epidemic situation is given, too. According to the result, we can collect the scale, the speed and the direction of the epidemic situation. Consequently, we can establish effect control policy to reduce harm.

AB - Comparing with the traditional host virus, the network virus has more attack ability and is more infectious in open network environment. So it is necessary to set a national virus precaution system to detect and control the network virus epidemic situation. In this paper, a distributed broadband network virus precaution model is introduced. It analyzes the data in the network and discovers the coming virus epidemic situation in time. The quantitative analysis of broadband network virus epidemic situation is given, too. According to the result, we can collect the scale, the speed and the direction of the epidemic situation. Consequently, we can establish effect control policy to reduce harm.

KW - Broadband Network Virus Precaution

KW - Distribute Systems Architecture

KW - Network Virus Checkup

KW - Quantitative Analysis

UR - https://www.scopus.com/pages/publications/1542269040

M3 - 会议稿件

AN - SCOPUS:1542269040

SN - 0780378652

T3 - International Conference on Machine Learning and Cybernetics

SP - 289

EP - 292

BT - International Conference on Machine Learning and Cybernetics

T2 - 2003 International Conference on Machine Learning and Cybernetics

Y2 - 2 November 2003 through 5 November 2003

ER -

The precaution of the network virus and the quantitative analysis of the epidemic situation

Abstract

Publication series

Conference

Keywords

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Cite this