Title :
Black hole attack mitigation method based on route discovery mechanism in AODV protocol
Author_Institution :
Dept. of Comput. of Eng., Delhi Technol. Univ., New Delhi, India
Abstract :
Ad hoc On Demand Vector (AODV) is a reactive routing protocol in Mobile Ad hoc Network (MANET). There have been several past works done to mitigate black hole effect but most of the methods incur overhead to the existing protocols. For the aforesaid reason, in this paper, we propose a new method MEAODV(Modified Enhanced AODV), based on the previous work EAODV(Enhanced AODV). The MEAODV is based on route discovery process for mitigating black hole effect. It does not incur any overhead to the network. It has similar logic as in EAODV but has few different condition parameters for checking the RREP message for better route discovery mechanism. In simulation, MEAODV has outstanding results in terms of better Performance Delivery Ratio(PDR) and less End-to-End Delay as compare to EAODV method by varying malicious nodes whereas it offers better PDR than EAODV by varying number of nodes.
Keywords :
delays; mobile ad hoc networks; routing protocols; AODV protocol; EAODV method; MANET; MEAODV; PDR; RREP message; ad hoc on demand vector; black hole attack mitigation method; black hole effect; end-to-end delay; enhanced AODV; malicious nodes; mobile ad hoc network; modified enhanced AODV; performance delivery ratio; reactive routing protocol; route discovery mechanism; route discovery process; Computational intelligence; Computational modeling; Conferences; Delays; Routing; Routing protocols; AODV; Black hole; EAODV; End-to-End Delay; MANET; MEAODV; Packet Drop Ratio; Performance Delivery Ratio; RREP message; RREQ message;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location :
Enathi
Print_ISBN :
978-1-4799-1594-1
DOI :
10.1109/ICCIC.2013.6724134