Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/475799
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialStrategies to improve reliability in vehicular ad hoc networks against hybrid jamming attacks
dc.date.accessioned2023-04-12T11:59:59Z-
dc.date.available2023-04-12T11:59:59Z-
dc.identifier.urihttp://hdl.handle.net/10603/475799-
dc.description.abstractVehicular Ad-hoc Network (VANET) constitutes a basis for the Intelligent Transportation System. VANET can be extensively used in safety and non-safety applications. Safety applications are related to enhancement of the safety of passengers on the road. It includes receiving warning messages about emergencies from a certain distance. For example, an accident happened that involves the requirement of change of traffic to another road. Dedicated Short Range Communication (DSRC) Safety application is an essential application in VANET, which has the primary objective of improving and enhancing safety through notification to drivers of hazards or impending accidents. Dynamic changes in topology are frequent in VANET, resulting in several jamming attacks. Hybrid jamming attacks involve a combination of the features of constant, deceptive and random jamming attacks. In this research work, a novel Index-Based Voting Approach (IBVA) has been proposed for avoiding hybrid jamming as an integral component of DSRC safety applications in VANET. This work focuses on a hybrid jamming detection strategy in terms of node centric misbehaviour detection. The authenticity of vehicular nodes was determined by a new Recursive Candidate Elimination Algorithm (RCEA). Experimental results show the requirement of the time required to make decisions in 0.3 seconds reducing decision time compared to the earlier algorithm reported in literature. The proposed IBVA algorithm in VANET improves reliability in terms of malicious node detection and reduction of decision time, which improve the network performance. The main objective of this research work is to reduce accidents on the road occurring from overtaking characteristics of vehicles in mixed traffic conditions on an undivided road. The lagging of communication between the vehicles and coordination among them during the road travelling increases road accidents. In this work, the Manhattan grid topology has been used for routing the message along the path in an undivided road. Energy consump
dc.format.extentxv,166p.
dc.languageEnglish
dc.relationp.153-165
dc.rightsuniversity
dc.titleStrategies to improve reliability in vehicular ad hoc networks against hybrid jamming attacks
dc.title.alternative
dc.creator.researcherSanthi, G B
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordTelecommunications
dc.subject.keywordVehicular Ad hoc Networks
dc.subject.keywordJamming attacks
dc.subject.keywordBasic message iindication
dc.description.note
dc.contributor.guideSheela,D and Chinnasamy, A
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File25.38 kBAdobe PDFView/Open
02_prelim pages.pdf2.92 MBAdobe PDFView/Open
03_content.pdf330.69 kBAdobe PDFView/Open
04_abstracs.pdf322.1 kBAdobe PDFView/Open
05_chapter 1.pdf1.23 MBAdobe PDFView/Open
06_chapter 2.pdf433.2 kBAdobe PDFView/Open
07_chapter 3.pdf875.81 kBAdobe PDFView/Open
08_chapter 4.pdf992.76 kBAdobe PDFView/Open
09_chapter 5.pdf1.28 MBAdobe PDFView/Open
10_chapter 6.pdf2.16 MBAdobe PDFView/Open
11_annexures.pdf193.76 kBAdobe PDFView/Open
80_recommendation.pdf125.56 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: