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2022-02-22
Ibrahim, Hussein Abdumalik, Sundaram, B.Barani, Ahmed, Asedo Shektofik, Karthika, P..  2021.  Prevention of Rushing Attack in AOMDV using Random Route Selection Technique in Mobile Ad-hoc Network. 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA). :626–633.
Ad Hoc Network is wireless networks that get more attention from past to present. Mobile ad hoc network (MANET) is one of the types of ad hoc networks, it deployed rapidly because it infrastructure-less. A node in a mobile ad hoc network communicates through wireless links without wired channels. When source nodes want to communicate with the destination outside its transmission range it uses multi-hop mechanisms. The intermediate node forwards the data packet to the next node until the data packet reaches its destination. Due wireless links and lack of centralized administration device, mobile ad hoc network is more vulnerable for security attacks. The rushing attack is one of the most dangerous attacks in the on-demand routing protocol of mobile ad hoc networks. Rushing attack highly transmits route request with higher transmission power than the genuine nodes and become participate between source and destination nodes, after that, it delays or drop actual data pass through it. In this study, the researcher incorporates rushing attack in one of the most commonly used mobile ad hoc network routing protocols namely Ad hoc on-demand multipath distance vector and provides a rushing attack prevention method based on the time threshold value and random route selection. Based on the time RREQ arrives a node takes a decision, if the RREQ packet arrives before threshold value, the RREQ packet consider as came from an attacker and discarded else RREQ packet received then randomly select RREQ to forward. In this study performance metrics like packet delivery ratio, end-to-end delay and throughput have been evaluated using Network simulation (NS-2.35). As a result of simulation shows newly proposed prevention mechanism improves network performance in all cases than the network under attacker. For example, the average packet delivery ratio enhanced from 54.37% to 97.69%, throughput increased from 20.84bps to 33.06bpsand the average delay decreased from 1147.22ms to 908.04ms. It is concluded that the new proposed techniques show improvement in all evaluated performance metrics.
2020-06-01
Sivanesh, S., Sarma Dhulipala, V.R..  2019.  Comparitive Analysis of Blackhole and Rushing Attack in MANET. 2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW). :495—499.

For the past few decades, mobile ad hoc networks (MANETs) have been a global trend in wireless networking technology. These kind of ad-hoc networks are infrastructure less, dynamic in topology and further doesn't have a centralized network administration which makes it easier for the intruders to launch several attacks on MANETs. In this paper, we have made a comparative analysis of the network layer attack by simulating rushing and black hole attack using NS-2 network simulator. For determining the most vulnerable attack we have considered packet delivery ratio, end to end delay and throughput as a evaluation metrices. Here, AODV routing protocol has been configured for data forwarding operations. From our Simulation result, it is evident that the black hole attack is more vulnerable when compared to the rushing attack.

2020-05-26
Kumari, Alpana, Krishnan, Shoba.  2019.  Analysis of Malicious Behavior of Blackhole and Rushing Attack in MANET. 2019 International Conference on Nascent Technologies in Engineering (ICNTE). :1–6.

Mobile Adhoc Network (MANET) are the networks where network nodes uses wireless links to transfer information from one node to another without making use of existing infrastructure. There is no node in the network to control and coordinate establishment of connections between the network nodes. Hence the network nodes performs dual function of both node as well as router. Due to dynamically changing network scenarios, absence of centralization and lack of resources, MANETs have a threat of large number of security attacks. Hence security attacks need to be evaluated in order to find effective methods to avoid or remove them. In this paper malicious behavior of Blackhole attack and Rushing attack is studied and analyzed for QoS metrics.