A Novel Security Approach for Detecting Black Hole Attack in MANET

Jaisankar, N.; Saravanan, R.; Swamy, K. Durai

doi:10.1007/978-3-642-12214-9_36

Cited by 27 publications

(19 citation statements)

References 2 publications

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“…The main problem of the aforementioned approach is it fails when a malicious sensor succeeds in changing its behavior continuously. Other researchers used Bayesian detection scheme, while others used approach that is based on modifying the ad hoc on‐demand distance vector routing protocol . Malicious sensors detection using the existing approaches require high usability of sensors resources such as the processing power, RAM, and the storage, especially in highly moving sensors across large graphical areas.…”

Section: Related Workmentioning

confidence: 99%

“…Other researchers used Bayesian detection scheme, 23 while others used approach that is based on modifying the ad hoc on-demand distance vector routing protocol. [24][25][26][27] Malicious sensors detection using the existing approaches require high usability of sensors resources such as the processing power, RAM, and the storage, especially in highly moving sensors across large graphical areas. Keeping tables that store information about neighbor sensors, sent packets, received packets, etc.…”

Section: Related Workmentioning

confidence: 99%

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Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

Yaseen

Albalas

Jararwah

et al. 2017

Trans Emerging Tel Tech

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Selective forwarding is a major problem in wireless sensor networks (WSNs). The nature of sensor environments and the sensitivity of collected measurements in some fields such as war fields increase the need to prevent, detect, or mitigate the problem. One of the most used countermeasures for such problem is the use of voting system based on watchdogs' votes. However, this approach is not applicable in the case of mobile sensors. Mobile WSNs (MWSNs) is growing immensely due to the exposure of applications of mobile computing, vehicular networks, and Internet of things. This exposure has shed light on the security of using mobile sensors and raises the need to set appropriate methods for securing MWSNs against many attacks such as selective forwarding attacks. This paper introduces the problem of selective forwarding in MWSNs and discusses how the voting system used for mitigation; this problem in WSNs is not applicable in handling the problem in MWSNs due to sensors mobility. Therefore, the paper proposes a model that provides a global monitoring capability for tracing moving sensors and detecting malicious ones. The model leverages the infrastructure of fog computing to achieve this purpose. In addition, the paper suggests using software defined systems to be used along with the proposed model, which generalize the model to be used to secure MWSNs against other types of attacks easily and flexibly. The paper provides a complete algorithm, a comprehensive discussion and experiments that show the correctness and importance of the proposed approach.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

Yaseen

Albalas

Jararwah

et al. 2017

Trans Emerging Tel Tech

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“…Many proposals in the literature have been dealing with detecting and/or avoiding malicious blackhole nodes in MANETs [3][4][5][6][7][8][9]. Representative ones are as follows.…”

Section: Related Workmentioning

confidence: 99%

A DSR-based routing protocol for mitigating blackhole attacks on mobile ad hoc networks

Woungang

Dhurandher

Obaidat

et al. 2013

Security Comm. Networks

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A mobile ad hoc network is a collection of mobiles, autonomous nodes that communicate in a cooperative manner over a wireless channel without any fixed infrastructure, nor built‐in security. As such, this type of network is vulnerable to different types of attacks such as blackhole and wormhole attacks. A blackhole attack is a type of attack where the malicious node (so‐called blackhole node) can attract all the data packets by using a forged route reply packet to falsely claim that it has a shortest route to the destination, thereby dropping all the data packets that it receives. In this paper, an improved version of a dynamic source routing (DSR) protocol (so‐called detecting blackhole attack based on DSR (DBA‐DSR)) is proposed to combat against blackhole attacks in mobile ad hoc networks. Unlike other solutions, which adopt a reactive approach in which blackhole nodes are identified only after the attack has been carried out on the network, our DBA‐DSR scheme detects and isolates the blackhole nodes prior to the actual routing process. This is achieved by using fake route request packets. Simulation results are provided, demonstrating the superiority of DBA‐DSR over DSR in terms of network throughput, packet delivery ratio, and routing overhead, chosen as performance metrics, when blackhole nodes are present in the network. Copyright © 2013 John Wiley & Sons, Ltd.

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“…This study deals with one of the security problems in ad hoc networks called black hole problem (Jaisankar et al, 2010). The black hole generally exhibits itself as the node which has the shortest path to the destination node and sends its reply as early as possible than all other original nodes thereby the source node assumes this fake node as the path to destination and sends all its packets which are all drained into the fake node making an empty hollow.…”

Section: Introductionmentioning

confidence: 99%

Dedicated Trustee Detector of Black Holes in Manets

Manoranjini¹

2014

Journal of Computer Science

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MANET is developing the next generation wireless universe. However MANETS prove their performance only when routing is efficient. In this paper we propose a model of Dedicated Trust System (DTS) which aims in detecting the misbehaving nodes. We implement our DTD using zone routing protocol with trusted systems. We finally develop a reputation model with two new parameters trustee and bucy trustee, which aims in identifying the black holes and isolating them and show significant upgradation in the overall protocol performance. We make a comparative study of our defensive network with the zone routing protocol defenseless network. All simulations have been implemented using NS2 simulator.

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A Novel Security Approach for Detecting Black Hole Attack in MANET

Cited by 27 publications

References 2 publications

Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

A DSR-based routing protocol for mitigating blackhole attacks on mobile ad hoc networks

Dedicated Trustee Detector of Black Holes in Manets

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