A game theoretic malicious nodes detection model in MANETs

Xiao Wang; Renjian Feng; Yinfeng Wu; Shenyun Che; Yongji Ren

doi:10.1109/MASS.2012.6708507

A game theoretic malicious nodes detection model in MANETs

Xiao Wang
, Renjian Feng
, Yinfeng Wu
, Shenyun Che
, Yongji Ren

School of Instrumentation and Optoelectronic Engineering

Beihang University
Naval Aeronautical Engineering Academy Yantai

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

5 Scopus citations

Abstract

Network security will face tougher challenges for MANETs due to emerging purposive strategic attacks conducted by smart malicious nodes. All these purposive strategic attacks eventually run out of the throughput which results in network crashes. In this paper, we have proposed a two-level dynamic Bayesian game model to recognize these purposive strategic attacks in MANETs and establish a malicious nodes detection system isolating such attacks. The simulation results have demonstrated that the detection method can effectively enhance cooperation performance and maintain packet forwarding rate under the purposive strategic attacks. Besides, through two-level decision, the system performs well in reducing the missing/false alarming rate, especially suitable for large proportion of malicious nodes in MANETs.

Original language	English
Title of host publication	MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems
Publisher	IEEE Computer Society
ISBN (Print)	9781467324335
DOIs	https://doi.org/10.1109/MASS.2012.6708507
State	Published - 2012
Event	9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2012 - Las Vegas, NV, United States Duration: 8 Oct 2012 → 11 Oct 2012

Publication series

Name	MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems
Volume	2012-January

Conference

Conference	9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2012
Country/Territory	United States
City	Las Vegas, NV
Period	8/10/12 → 11/10/12

Keywords

Bayesian game
Cooperation performace
MANETs
Malicious nodes detection
Purposive strategic attack

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10.1109/MASS.2012.6708507

Cite this

@inproceedings{fb8065a9fdfb4ec9a69c836bf9c565ae,

title = "A game theoretic malicious nodes detection model in MANETs",

abstract = "Network security will face tougher challenges for MANETs due to emerging purposive strategic attacks conducted by smart malicious nodes. All these purposive strategic attacks eventually run out of the throughput which results in network crashes. In this paper, we have proposed a two-level dynamic Bayesian game model to recognize these purposive strategic attacks in MANETs and establish a malicious nodes detection system isolating such attacks. The simulation results have demonstrated that the detection method can effectively enhance cooperation performance and maintain packet forwarding rate under the purposive strategic attacks. Besides, through two-level decision, the system performs well in reducing the missing/false alarming rate, especially suitable for large proportion of malicious nodes in MANETs.",

keywords = "Bayesian game, Cooperation performace, MANETs, Malicious nodes detection, Purposive strategic attack",

author = "Xiao Wang and Renjian Feng and Yinfeng Wu and Shenyun Che and Yongji Ren",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE Computer Society. All rights reserved.; 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2012 ; Conference date: 08-10-2012 Through 11-10-2012",

year = "2012",

doi = "10.1109/MASS.2012.6708507",

language = "英语",

isbn = "9781467324335",

series = "MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems",

publisher = "IEEE Computer Society",

booktitle = "MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems",

address = "美国",

}

Wang, X, Feng, R , Wu, Y, Che, S & Ren, Y 2012, A game theoretic malicious nodes detection model in MANETs. in MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems. MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, vol. 2012-January, IEEE Computer Society, 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2012, Las Vegas, NV, United States, 8/10/12. https://doi.org/10.1109/MASS.2012.6708507

A game theoretic malicious nodes detection model in MANETs. / Wang, Xiao; Feng, Renjian ; Wu, Yinfeng et al.
MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems. IEEE Computer Society, 2012. (MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems; Vol. 2012-January).

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

TY - GEN

T1 - A game theoretic malicious nodes detection model in MANETs

AU - Wang, Xiao

AU - Feng, Renjian

AU - Wu, Yinfeng

AU - Che, Shenyun

AU - Ren, Yongji

PY - 2012

Y1 - 2012

N2 - Network security will face tougher challenges for MANETs due to emerging purposive strategic attacks conducted by smart malicious nodes. All these purposive strategic attacks eventually run out of the throughput which results in network crashes. In this paper, we have proposed a two-level dynamic Bayesian game model to recognize these purposive strategic attacks in MANETs and establish a malicious nodes detection system isolating such attacks. The simulation results have demonstrated that the detection method can effectively enhance cooperation performance and maintain packet forwarding rate under the purposive strategic attacks. Besides, through two-level decision, the system performs well in reducing the missing/false alarming rate, especially suitable for large proportion of malicious nodes in MANETs.

AB - Network security will face tougher challenges for MANETs due to emerging purposive strategic attacks conducted by smart malicious nodes. All these purposive strategic attacks eventually run out of the throughput which results in network crashes. In this paper, we have proposed a two-level dynamic Bayesian game model to recognize these purposive strategic attacks in MANETs and establish a malicious nodes detection system isolating such attacks. The simulation results have demonstrated that the detection method can effectively enhance cooperation performance and maintain packet forwarding rate under the purposive strategic attacks. Besides, through two-level decision, the system performs well in reducing the missing/false alarming rate, especially suitable for large proportion of malicious nodes in MANETs.

KW - Bayesian game

KW - Cooperation performace

KW - MANETs

KW - Malicious nodes detection

KW - Purposive strategic attack

UR - https://www.scopus.com/pages/publications/85013992817

U2 - 10.1109/MASS.2012.6708507

DO - 10.1109/MASS.2012.6708507

M3 - 会议稿件

AN - SCOPUS:85013992817

SN - 9781467324335

T3 - MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems

BT - MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems

PB - IEEE Computer Society

T2 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2012

Y2 - 8 October 2012 through 11 October 2012

ER -

A game theoretic malicious nodes detection model in MANETs

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Keywords

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