scholarly journals Survey on Wormhole Attack Detection Techniques in Mobile Ad-hoc Network

2015 ◽  
Vol 120 (11) ◽  
pp. 9-12 ◽  
Author(s):  
Dipika Baid ◽  
Kriti Dugar ◽  
Pratima Sarkar

Mobile ad hoc network is appealing mechanization in many applications, including disaster recovery and communication systems and rescue due to the flexibility offered by the diverse network. An equivalent network, although it has been found that legitimate can operate independently, or may link to the wider Internet. A framework has been introduced in recent years operators and attackers, have used this network environment. Mobile Ad hoc Network is the main concern about dynamic routing access. Mobile ad hoc network provides several well-known protocols for routing responsive like DSR, AODV, TORA, etc. AODV can route both unicast and multicast. AODV routing protocol cannot protect against a wormhole attack. In this paper, we implement a technique of pseudo-DNA cryptography, focused on the molecular biology’s central dogma. In this approach, we simulate the central dogma's transcription and translation process, and even some extra features to make it difficult to crack the resulting ciphertext and defense against wormhole attack. In the sense of ratio for packet drop, throughput and the delay between two nodes we also examine the impact of the wormhole attack on a parameter of ad hoc network.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Robert A. Sowah ◽  
Kwadwo B. Ofori-Amanfo ◽  
Godfrey A. Mills ◽  
Koudjo M. Koumadi

A Mobile Ad-Hoc Network (MANET) is a convenient wireless infrastructure which presents many advantages in network settings. With Mobile Ad-Hoc Network, there are many challenges. These networks are more susceptible to attacks such as black hole and man-in-the-middle (MITM) than their corresponding wired networks. This is due to the decentralized nature of their overall architecture. In this paper, ANN classification methods in intrusion detection for MANETs were developed and used with NS2 simulation platform for attack detection, identification, blacklisting, and node reconfiguration for control of nodes attacked. The ANN classification algorithm for intrusion detection was evaluated using several metrics. The performance of the ANN as a predictive technique for attack detection, isolation, and reconfiguration was measured on a dataset with network-varied traffic conditions and mobility patterns for multiple attacks. With a final detection rate of 88.235%, this work not only offered a productive and less expensive way to perform MITM attacks on simulation platforms but also identified time as a crucial factor in determining such attacks as well as isolating nodes and reconfiguring the network under attack. This work is intended to be an opening for future malicious software time signature creation, identification, isolation, and reconfiguration to supplement existing Intrusion Detection Systems (IDSs).


2015 ◽  
Vol 9 (1and2) ◽  
Author(s):  
Hoshiyar Singh Kanyal ◽  
Prof. (Dr.) S. Rahamatkar ◽  
Dr. B. K. Sharma

Since there is no infrastructure in mobile ad hoc networks, each node must rely on other nodes for cooperation in routing and forwarding packets to the destination. Intermediate nodes might agree to forward the packets but actually drop or modify them because they are misbehaving. The simulations in show that only a few misbehaving nodes can degrade the performance of the entire system. There are several proposed techniques and protocols to detect such misbehavior in order to avoid those nodes, and some schemes also propose punishment as well. It is very difficult to design once-for-all intrusion detection techniques. Instead, an incremental enhancement strategy may be more feasible. A secure protocol should at least include mechanisms against known attack types. In addition, it should provide a scheme to easily add new security features in the future. Due to the importance of MANET routing protocols, we focus on the detection of attacks targeted at MANET routing protocols This include WatchDog and Pathrater approach. A watchdog identifies the misbehaving nodes by eavesdropping on the transmission of the next hop. A path rater then helps to find the routes that do not contain those nodes. In DSR, the routing information is defined at the source node. This routing information is passed together with the message through intermediate nodes until it reaches the destination.


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