Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/267610
Title: Blackhole attack detection and prevention in VANET
Researcher: Upadhyaya, A.N.
Guide(s): Shah, J.S.
Keywords: Blackhole Attack
Blackhole detection
Blackhole prevention
Engineering and Technology,Computer Science,Computer Science Theory and Methods
University: RK University
Completed Date: 19/01/2019
Abstract: quotABSTRACT newlineAim: Secure communication is a prerequisite for adopting VANET communication as a solution for the various applications. Delay or alteration of message in VANET application makes VANET environment non Trustable. The main concern is how to provide best security in VANET without any negotiation with performance and reliability. The main purpose of proposed work is to secure and protect VANETs against Blackhole Routing Attack and try to reduce the effect of blackhole effect by detecting and protecting against malicious nodes. newlineMaterials and Methods:The advancement of AODV routing protocol is presented for providing better security against blackhole routing attack. Work is presenting three methods for blackhole attack detection (DAODV_MSN, DAODV_NAC and DAODV_PDR), and five methods for blackhole attack prevention (PAODV_MSN, PAODV_NAC, PAODV_TP, PAODV_RTPSN and PAODV_RTPDR). Work analyzed through the different methods under simulation environment using the tool SUMO, MOVE and NS2. newlineResults and Discussion: Efficiency and effectiveness of different methods are comparedbased on Packet Drop Rate, Average End to End Delay, Network Throughput jitter and Normalized routing Load. As per the result analysis blackhole prevention methods gives better improvement in terms of Packet Drop Rate compare to blackhole detection methods. Through PAODV_MSN, PAODV_NAC, PAODV_TP received good Packet Drop Rate improvement but with the additional cost in terms of Network Routing Load. So there is a need to identify a method which can do the improvement in packet drop rate without much addition in Network Routing Load. So as a part of solution work is done on two other prevention methods (PAODV_RTPSN, PAODV_RTPDR), which is giving good improvement in terms of Packet Drop Rate with minimum additional cost of Network Routing Load. newlineConclusion: Here in result 73.89% improvement is received in Packet Drop Rate using PAODV_RTPSN and 72.88% improvement is received in Packet Drop Rate using PAODV_RTPDR and also minor improvement over Throughp
Pagination: -
URI: http://hdl.handle.net/10603/267610
Appears in Departments:Faculty of Technology

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01_cover page.pdfAttached File186.04 kBAdobe PDFView/Open
02_certificate.pdf499.46 kBAdobe PDFView/Open
03_declaration.pdf264.4 kBAdobe PDFView/Open
04_acknowledgement.pdf174.7 kBAdobe PDFView/Open
05_table of contents.pdf99.98 kBAdobe PDFView/Open
06_list of tables.pdf268.07 kBAdobe PDFView/Open
07_list of figures.pdf300.45 kBAdobe PDFView/Open
08_list of abbreviations.pdf201.36 kBAdobe PDFView/Open
09_abstract.pdf176.09 kBAdobe PDFView/Open
10_graphical abstract.pdf179.71 kBAdobe PDFView/Open
11_chapter-1.pdf591.75 kBAdobe PDFView/Open
12_chapter-2.pdf390.38 kBAdobe PDFView/Open
13-chapter-3.pdf530.75 kBAdobe PDFView/Open
14- chapter-4.pdf4.2 MBAdobe PDFView/Open
15-chapter-5.pdf3.3 MBAdobe PDFView/Open
16_list of publications.pdf356.93 kBAdobe PDFView/Open
17-references.pdf303.62 kBAdobe PDFView/Open
18_appendix.pdf1.53 MBAdobe PDFView/Open
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