A dynamic threshold based approach for mitigating black-hole attack in MANET

Gurung, Shashi; Chauhan, Siddhartha

doi:10.1007/s11276-017-1514-1

Cited by 35 publications

(16 citation statements)

References 23 publications

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“…Gurung and Chauhan [18] presented the Mitigating Black hole effects through Detection and Prevention based AODV protocol in MANET. The developed MBDP-AODV protocol was mainly depends on the dynamic threshold value of destination sequence number to avoid the blackhole attack.…”

Section: Literature Surveymentioning

confidence: 99%

PUSR: Position Update Secure Routing protocol for MANET

Anantapur¹,

Venkanagouda²

2021

IJIES

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Mobile ad hoc network is a self-organizing wireless network, which is formed by the wireless mobile devices without any centralized infrastructure. The mobile nodes in the network are mainly affected by the inherent characteristics such as unpredictable network topology and open wireless medium. Especially, the presence of selfish nodes in the network creates the packet loss and affects an entire communication system. In this paper, the hash function with position updating algorithm is proposed in the Ad hoc On-Demand Distance Vector (AODV) routing protocol for improving the security against the selfish nodes. The AODV routing protocol is used to transmit the data packets from the source to the destination. Therefore, the Prevention of Selfish Node using Hash Function (PSNHF) with position update algorithm is proposed for minimizing the packet loss through the network. The performances of proposed AODV-PSNHF method are analysed in terms of energy consumption, throughput, Packet Delivery Ratio (PDR), packet loss and normalized routing load. In addition, the AODV-PSNHF method is compared with the existing trust-aware ad-hoc routing protocol (T2AR). The selfish node identification using hash function and positioning update using AODV-PSNHF method provides reliable and secure data transmission under selfish nodes and shows better performance in terms of throughput, packet delivery ratio and packet loss. For 2% of malicious nodes the PDR of the AODV-PSNHF method is 89%, it is 9% higher when compared to the T2AR protocol whose PDR% is only 80% for the same.

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Section: Literature Surveymentioning

confidence: 99%

PUSR: Position Update Secure Routing protocol for MANET

Anantapur¹,

Venkanagouda²

2021

IJIES

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“…We experimented by constructing a tree-structured route with 0-4 malicious nodes that performed different attacks to verify the performance of detecting several attacks (e.g., gray-hole, false positive, and smart gray-hole) at varying rates. Among the gray-hole attacks, an attack that continuously discards packets at a constant rate is called a sequence number-based gray-hole attack and one that interrupts and re-executes an attack depending on a situation is called a smart gray-hole attack [16]. The traffic types of the tactical sensor data were set in consideration of the type, size, and generation cycle of the chemical, biological, and radiological sensors, and of the surveillance videos [17,18].…”

Section: Simulation Environmentmentioning

confidence: 99%

A Stepwise and Hybrid Trust Evaluation Scheme for Tactical Wireless Sensor Networks

Lim

Keum

2020

Sensors

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In tactical wireless sensor networks, tactical sensors are increasingly expected to be exploited for information collection in battlefields or dangerous areas on behalf of soldiers. The main function of these networks is to use sensors to measure radiation, nuclear, and biochemical values for the safety of allies and also to monitor and carry out reconnaissance of enemies. These tactical sensors require a network traffic flow that sends various types of measured information to the gateway, which needs high reliability. To ensure reliability, it must be able to detect malicious nodes that perform packet-dropping attacks to disrupt the network traffic flow, and energy-constrained sensors require energy-efficient methods to detect them. Therefore, in this paper, we propose a stepwise and hybrid trust evaluation scheme for locating malicious nodes that perform packet-dropping attacks in a tree-based network. Sensors send a query to the gateway by observing the traffic patterns of their child nodes. Moreover, depending on the situation, the gateway detects malicious nodes by choosing between gateway-assisted trust evaluation and gateway-independent trust evaluation. We implemented and evaluated the proposed scheme with the OPNET simulator, and the results showed that a higher packet delivery ratio can be achieved with significantly lower energy consumption.

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“…Source nodes send their data only if the reply is from the trusted node, otherwise, they wait for other RREPs from nodes having to pass behavioral analysis filter. In [15], Gurung and Chauhan have proposed MBDP-AODV (Mitigating Black Hole e↵ects through Detection and Prevention) based on a dynamic threshold value of the destination sequence number. In [24], Dorri has proposed a table based approach to mitigate the cooperative black hole attack in the context of MANETs.…”

Section: Related Workmentioning

confidence: 99%

Lightweight reputation-based approach against simple and cooperative black-hole attacks for MANET

Assia

Omar

Djebari

et al. 2018

Journal of Information Security and Applications

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Ad hoc network is a set of mobile nodes interconnected by wireless communication. It is easily and less expensive to deploy, but it is vulnerable against various attacks. The node data should cross a set of intermediate nodes in order to reach the intended destination. An intermediate node, which takes part of the routing process, can behave maliciously and drop the packets passing through it instead of transferring them to its successor, which leads to what is called black hole attack. Several solutions have been proposed in the literature review. However, these solutions su↵er from the imbalance between robustness and overhead. In this context, we propose a solution based on reputation of nodes and multi-hop acknowledgment. The reputation of nodes increases or decreases depending on the situation and the observation condition. When the node reputation passes below the threshold, then it will be considered as a black hole node. The proposed approach detects and excludes simple and cooperative black hole attackers and enforces the cooperation among the network nodes. Through simulation, we compare the proposed approach to a concurrent protocol and we show its e ciency in terms of detection ratio and communication overhead.

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A dynamic threshold based approach for mitigating black-hole attack in MANET

Cited by 35 publications

References 23 publications

PUSR: Position Update Secure Routing protocol for MANET

PUSR: Position Update Secure Routing protocol for MANET

A Stepwise and Hybrid Trust Evaluation Scheme for Tactical Wireless Sensor Networks

Lightweight reputation-based approach against simple and cooperative black-hole attacks for MANET

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