QBTP worm: An anti-worm with balanced tree based spreading strategy

Yi Xuan Liu; Xiao Chun Yun; Bai Ling Wang; Hai Bin Sun

QBTP worm: An anti-worm with balanced tree based spreading strategy

Yi Xuan Liu^*
, Xiao Chun Yun
, Bai Ling Wang
, Hai Bin Sun

^*Corresponding author for this work

School of Computer Science and Technology (School of Software)

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

6 Scopus citations

Abstract

The traditional prevention methods of anti-virus cannot provide a safe network against malicious worms. In this paper, we research on an anti-worm mechanism that actively distributes the anti-worm code to the authorized hosts. We propose a balanced tree based propagation strategy for anti-worm with a mathematic model. By varying the model parameters, the impacts are studied. Some simulation results show us that the new strategy is effective and feasible.

Original language	English
Title of host publication	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages	3955-3964
Number of pages	10
State	Published - 2005
Event	International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China Duration: 18 Aug 2005 → 21 Aug 2005

Publication series

Name	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

Conference	International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/Territory	China
City	Guangzhou
Period	18/08/05 → 21/08/05

Keywords

Anti-worm
Cross-spreading model
Malicious worm
Network security
The balanced tree-based propagation

Cite this

@inproceedings{440c2fcf266d42a680c224679d111b83,

title = "QBTP worm: An anti-worm with balanced tree based spreading strategy",

abstract = "The traditional prevention methods of anti-virus cannot provide a safe network against malicious worms. In this paper, we research on an anti-worm mechanism that actively distributes the anti-worm code to the authorized hosts. We propose a balanced tree based propagation strategy for anti-worm with a mathematic model. By varying the model parameters, the impacts are studied. Some simulation results show us that the new strategy is effective and feasible.",

keywords = "Anti-worm, Cross-spreading model, Malicious worm, Network security, The balanced tree-based propagation",

author = "Liu, \{Yi Xuan\} and Yun, \{Xiao Chun\} and Wang, \{Bai Ling\} and Sun, \{Hai Bin\}",

year = "2005",

language = "英语",

isbn = "078039092X",

series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

pages = "3955--3964",

booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",

}

Liu, YX, Yun, XC, Wang, BL & Sun, HB 2005, QBTP worm: An anti-worm with balanced tree based spreading strategy. in 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, pp. 3955-3964, International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, China, 18/08/05.

QBTP worm: An anti-worm with balanced tree based spreading strategy. / Liu, Yi Xuan; Yun, Xiao Chun; Wang, Bai Ling et al.
2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005. p. 3955-3964 (2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005).

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

TY - GEN

T1 - QBTP worm

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AU - Liu, Yi Xuan

AU - Yun, Xiao Chun

AU - Wang, Bai Ling

AU - Sun, Hai Bin

PY - 2005

Y1 - 2005

N2 - The traditional prevention methods of anti-virus cannot provide a safe network against malicious worms. In this paper, we research on an anti-worm mechanism that actively distributes the anti-worm code to the authorized hosts. We propose a balanced tree based propagation strategy for anti-worm with a mathematic model. By varying the model parameters, the impacts are studied. Some simulation results show us that the new strategy is effective and feasible.

AB - The traditional prevention methods of anti-virus cannot provide a safe network against malicious worms. In this paper, we research on an anti-worm mechanism that actively distributes the anti-worm code to the authorized hosts. We propose a balanced tree based propagation strategy for anti-worm with a mathematic model. By varying the model parameters, the impacts are studied. Some simulation results show us that the new strategy is effective and feasible.

KW - Anti-worm

KW - Cross-spreading model

KW - Malicious worm

KW - Network security

KW - The balanced tree-based propagation

UR - https://www.scopus.com/pages/publications/28444480227

M3 - 会议稿件

AN - SCOPUS:28444480227

SN - 078039092X

SN - 9780780390928

T3 - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

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EP - 3964

BT - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Y2 - 18 August 2005 through 21 August 2005

ER -

QBTP worm: An anti-worm with balanced tree based spreading strategy

Abstract

Publication series

Conference

Keywords

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