Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET

October 2015
Vol-1, Issue-2
Paper ID: 1170
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
information technology
Keywords
Trust Reputation Dempster-Shafer theory Bayesian interface
Abstract
MANET consist of many small devices communicating spontaneously over the air (wireless).The topology of the network is changing frequently because of the mobile nature of its nodes. Ad hoc finally induces that there are no such things as fixed routers, therefore every node has to act as a router for its neighbors. Trust-based schemes are considered as effective mechanisms associated with cryptographic techniques for thwarting a variety of attacks. Because of the properties of MANET, trust establishment needs an intelligent approach to identify attackers’ misbehavior. A routing protocol for MANET should give incentives for acting correctly and it should be able to detect misbehaving nodes and punish them. In MANET no priori trust relationships and no central trustworthy authorities exist. The goal is to establish trust relationships by using a reputation-based trust management scheme. This can be done by getting reputation for a node and combining this with personal observations about its behavior. Bayesian interface is used for direct observation and Dempster-Shafer theory is used to calculate trust value based on indirect observation.

Author Information

# Name Institute / Affiliation
1 bhumika shah Parul Institute of Engineering & Technology
2 Juhi Kaneria Parul Institute of Engineering & Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
shah, bhumika & Kaneria, Juhi (2015). Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET. International Journal of Advance Research and Innovative Ideas In Education, 1(2), 252-260.
MLA Style
shah, bhumika, and Juhi Kaneria. "Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET." International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 2, 2015, pp. 252-260.
IEEE Style
bhumika shah and Juhi Kaneria, "Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET," International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 2, pp. 252-260, 2015.
Vancouver Style
shah bhumika, Kaneria Juhi. Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET. International Journal of Advance Research and Innovative Ideas In Education. 2015;1(2):252-260.
Harvard Style
shah, bhumika & Kaneria, Juhi (2015) 'Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET', International Journal of Advance Research and Innovative Ideas In Education, 1(2), pp. 252-260.
Chicago Style
shah, bhumika and Juhi Kaneria. "Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET." International Journal of Advance Research and Innovative Ideas In Education 1, no. 2 (2015): 252-260.
Turabian Style
shah, bhumika and Juhi Kaneria. "Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET." International Journal of Advance Research and Innovative Ideas In Education 1, no. 2 (2015): 252-260.

Export Citation

Related Research

DIGITAL DIVIDE AND EQUITY IN ACCESS TO INTERNET: ITS IMPACT TO LEARNERS’ ACADEMIC ACHIEVEMENT
Ladylee Paje Custodio et al. 2026 Educational technology
PDF Unavailable
A PHENOMENOLOGICAL STUDY ON THE CHALLENGES, AND COPING STRATEGIES OF SCHOOL HEADS IN USING TECHNOLOGY
MARK IAN K. DOMOSMOG 2026 Educational Leadership and Management with a focus on Educational Technology Integration
PDF Unavailable
A Comprehensive Review of Blockchain in Automotive Data Tracking
Mr Nagesh U B et al. 2026 Information Science
PDF Unavailable
A Review Paper on Deep Learning-Based Image Steganography Techniques
Dr. Rachana P et al. 2026 Information Science and Engineering
PDF Unavailable
Decentralized Voting System Using Ethereum Blockchain
Dr. D. SIVAKUMAR et al. 2026 Information Science and Engineering
PDF Unavailable
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPy
Roshani Rajesh khobragade et al. 2026 Information Technology / Computer Engineering / Machine Learning
PDF Unavailable