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 |
Files in This Item:
File | Description | Size | Format | |
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01_cover page.pdf | Attached File | 186.04 kB | Adobe PDF | View/Open |
02_certificate.pdf | 499.46 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 264.4 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 174.7 kB | Adobe PDF | View/Open | |
05_table of contents.pdf | 99.98 kB | Adobe PDF | View/Open | |
06_list of tables.pdf | 268.07 kB | Adobe PDF | View/Open | |
07_list of figures.pdf | 300.45 kB | Adobe PDF | View/Open | |
08_list of abbreviations.pdf | 201.36 kB | Adobe PDF | View/Open | |
09_abstract.pdf | 176.09 kB | Adobe PDF | View/Open | |
10_graphical abstract.pdf | 179.71 kB | Adobe PDF | View/Open | |
11_chapter-1.pdf | 591.75 kB | Adobe PDF | View/Open | |
12_chapter-2.pdf | 390.38 kB | Adobe PDF | View/Open | |
13-chapter-3.pdf | 530.75 kB | Adobe PDF | View/Open | |
14- chapter-4.pdf | 4.2 MB | Adobe PDF | View/Open | |
15-chapter-5.pdf | 3.3 MB | Adobe PDF | View/Open | |
16_list of publications.pdf | 356.93 kB | Adobe PDF | View/Open | |
17-references.pdf | 303.62 kB | Adobe PDF | View/Open | |
18_appendix.pdf | 1.53 MB | Adobe PDF | View/Open |
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