Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Trust Based Bayesian Inference and Dempster-Shafer Theory to Achieve Security in MANET
PaperId: :  1170
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 1 Issue 2 2015
DUI:    16.0415/IJARIIE-1170
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
bhumika shahParul Institute of Engineering & Technology
Juhi KaneriaParul Institute of Engineering & Technology

Abstract

information technology
Trust, Reputation, Dempster-Shafer theory, Bayesian interface
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.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE 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 Volume 1 Issue 2 2015 Page 252-260
MLA 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 1.2(2015) : 252-260.
APA bhumika shah, & Juhi Kaneria. (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.
Chicago 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 1, no. 2 (2015) : 252-260.
Oxford 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, 2015, p. 252-260. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Trust_Based_Bayesian_Inference_and_Dempster_Shafer_Theory_to_Achieve_Security_in__MANET_IJARIIE1170_volume_1_11_page_252_260.pdf (Accessed : ).
Harvard bhumika shah, and Juhi Kaneria. (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. 252-260IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Trust_Based_Bayesian_Inference_and_Dempster_Shafer_Theory_to_Achieve_Security_in__MANET_IJARIIE1170_volume_1_11_page_252_260.pdf (Accessed : )
IEEE 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, May-Jun 2015. [Online]. Available: https://ijariie.com/AdminUploadPdf/Trust_Based_Bayesian_Inference_and_Dempster_Shafer_Theory_to_Achieve_Security_in__MANET_IJARIIE1170_volume_1_11_page_252_260.pdf [Accessed : ].
Turabian 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 [Online]. volume 1 number 2 ().
Vancouver 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 [Internet]. 2015 [Cited : ]; 1(2) : 252-260. Available from: https://ijariie.com/AdminUploadPdf/Trust_Based_Bayesian_Inference_and_Dempster_Shafer_Theory_to_Achieve_Security_in__MANET_IJARIIE1170_volume_1_11_page_252_260.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
INTEGRATING THE FLIPPED CLASSROOM MODEL WITH PROJECT-BASED LEARNING IN TEACHING MICROSOFT POWERPOINT: A CASE STUDY AT THE UNIVERSITY OF AGRICULTURE AND FORESTRY, THAI NGUYEN UNIVERSITYEducationNguyen Ngoc Lan Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
12