Multi Attacker Collision Analysis In MANETs Using Conditional likilihood

Nitta Rajkiran

Multi Attacker Collision Analysis In MANETs Using Conditional likilihood

Nitta Rajkiran *

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Multi Attacker Collision Analysis In MANETs Using Conditional likilihood

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Abstract

Mobile ad hoc networks will aim to provide services to the wireless network without depending on any fixed infrastructure There are basically two approaches to motivate players: 1) by denying service to misbehaving players by means of a reputation mechanism or 2) by remunerating honest players, using for example a micropayment scheme. In these works, malicious players are modelled as never cooperative, without any further sophistication, since their main focus was discouraging selfish players. There is no degree of selfishness that can approximate the behaviour of malicious players. This work will focus on multi-attacker collusion in the regular/malicious player game. The Proposed System also model the regular/malicious player game as a multistage dynamic Bayesian signalling game to find the optimal strategy of regular and malicious players. Apart from that utility function, degree of selfishness of a player and degree of uncertainty are also considered.

References

26 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Nitta Rajkiran. 2013. "Multi Attacker Collision Analysis In MANETs Using Conditional likilihood". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E3).

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GJCST Volume 13 Issue E3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

bayesian signaling game game theory mobile ad hoc networks (MOBILE AD HOC NETWORKS)mobility reputation systems sequential rationality uncertain

Classification

GJCST-E Classification C.2.m

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published April 5, 2013

Version of record

v1.2

Issue date

April 5, 2013

Language

English

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Nitta Rajkiran (PhD/Dr. count: 0)

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