Detection of single and collaborative black hole attack in MANET

Sathish, M.; Arumugam, K.; Pari, S. Neelavathy; Harikrishnan, V. S.

doi:10.1109/wispnet.2016.7566500

Cited by 23 publications

(17 citation statements)

References 8 publications

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“…The paper describes the taxonomy of algorithm in a very systematic way. [16,17] here the effects of black hole and wormhole are mitigated using a trust. Trust value is computed with the type of response received with route request, route reply and data packets.…”

Section: Literatute Reviewmentioning

confidence: 99%

Accusation Based on Non-Voting Mechanism in MANET using Clusters

Jayanthi.¹,

Hussain²

2019

IJRTE

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compared to the wired network. The requirement of prior information regarding the broadcast feature and protocols required for reliable communication for MANET. Device mobility and frequent topology change is another important challenge. Further, its limited Processing capabilities, memory storage, energy and bandwidth are the required for algorithm implementation in MANET. MANETS [2] are vulnerable to attacks than its counterpart wired network. Vulnerabilities actors in Ad hoc networks are Absence of integrated observing and management, limited battery backup, power supply, infrastructure-less network with limited resources, frequent disconnections and partitions due mobility. Due to the above vulnerabilities, MANETS have to accomplish security goals. The major network security goals are confidentiality, and authentication. While compared to integrity, authorization availability and non-repudiation. In MANET, a number of communication approaches among nodes approaches are unicasting, multicasting, broadcasting, geo-casting and converge casting. These approaches are useful for successful communication in MANET. But, the characteristics and communication approaches of MANET present problems for achieving challenges and the security goals. Trust management is required to betterment the secrecy and security of MANET. The service of Watchdog is to monitor routing nature of a node, and then feed the information into the reputation system to manage and maintain the node reputation and thereby detection of black hole attack. The advantage of the watchdog is that it needs only local information for the detection of malicious node. A. Passive and active attackThe attackers may delay the message/packets from reaching the destination, drop the packets or change the messages. The attacks are listed into two classification, viz. passive and active attacks. The passive attackers indulge in monitoring or eavesdropping of data, during the transmission of data in the network. The attackers do not attempt to tamper or modify the data in transit. Detection of passive attack is difficult, hence passive attacks need to be prevented rather than detecting and taking corrective actions. In other words, passive attacks do not indulge modifications to the original message contents. Passive attacks are further sub classified into two categories. First is release of message contents, where the sensitive information from the data are monitored during its transit. And the second type of attack is traffic analysis, here attackers may not get access to the data, but may know when and from where the message was transmitted from. This is used for predicting the nature of the information. Active attacks, on the other hand, involves modification or tampering of messages on the transit. Prevention of active attacks is very difficult. Active attacks comprises of Denial of Service Attack (DOS), Replay attack, Masquerading, and alteration. The black hole is an example of an active attack. Where in the attacker drop the packets which are received. Two ...

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Section: Literatute Reviewmentioning

confidence: 99%

Accusation Based on Non-Voting Mechanism in MANET using Clusters

Jayanthi.¹,

Hussain²

2019

IJRTE

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“…In [16], the proposed model uses fabricated requests to detect black-hole nodes in the network. Source starts by broadcasting a fabricated request in the network, any node reply to the fabricated request is considered as a black-hole node.…”

Section: Related Workmentioning

confidence: 99%

Detecting and Isolating Black‐Hole Attacks in MANET Using Timer Based Baited Technique

Yasin

Zant

2018

Wireless Communications and Mobile Computing

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Mobile Ad hoc Network (MANET) is a type of wireless networks that provides numerous applications in different areas. Security of MANET had become one of the hottest topics in networks fields. MANET is vulnerable to different types of attacks that affect its functionality and connectivity. The black-hole attack is considered one of the most widespread active attacks that degrade the performance and reliability of the network as a result of dropping all incoming packets by the malicious node. Black-hole node aims to fool every node in the network that wants to communicate with another node by pretending that it always has the best path to the destination node. AODV is a reactive routing protocol that has no techniques to detect and neutralize the black-hole node in the network. In this research, we enhanced AODV by integrating a new lightweight technique that uses timers and baiting in order to detect and isolate single and cooperative black-hole attacks. During the dynamic topology changing the suggested technique enables the MANET nodes to detect and isolate the black-hole nodes in the network. The implementation of the proposed technique is performed by using NS-2.35 simulation tools. The results of the suggested technique in terms of Throughput, End-to-End Delay, and Packet Delivery Ratio are very close to the native AODV without black holes.

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“…In [10], Sathish et al proposed a novel strategy to reduce the impact of the single and collaborative black hole attacks. In their scheme, a fake RREQ is broadcasted with non destination address.…”

Section: Literature Reviewmentioning

confidence: 99%