Quantifying the Severity of Blackhole Attack in Wireless Mobile Adhoc Networks

Mandala, Satria; Jenni, Kommineni; Ngadi, Md. Asri; Kamat, Maznah; Coulibaly, Yahaya

doi:10.1007/978-3-662-44966-0_6

Cited by 21 publications

(10 citation statements)

References 17 publications

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“…(2) The current black hole avoidance strategies are mostly passive acting systems, which affects system performance. (3) The trust route mechanism has high costs and is difficult to obtain trust, so the guiding significance is limited [35,36].…”

Section: Related Workmentioning

confidence: 99%

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Liu

Dong

Ota

2016

IEEE Trans.Inform.Forensic Secur.

325

169

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Wireless sensor networks (WSNs) are increasingly being deployed in security-critical applications. Because of their inherent resource-constrained characteristics, they are prone to various security attacks, and a black hole attack is a type of attack that seriously affects data collection. To conquer that challenge, an active detection-based security and trust routing scheme named ActiveTrust is proposed for WSNs. The most important innovation of ActiveTrust is that it avoids black holes through the active creation of a number of detection routes to quickly detect and obtain nodal trust and thus improve the data route security. More importantly, the generation and distribution of detection routes are given in the ActiveTrust scheme, which can fully use the energy in non-hotspots to create as many detection routes as needed to achieve the desired security and energy efficiency. Both comprehensive theoretical analysis and experimental results indicate that the performance of the ActiveTrust scheme is better than that of previous studies. ActiveTrust can significantly improve the data route success probability and ability against black hole attacks and can optimize network lifetime. Index Terms-black hole attack, network lifetime, security, trust, wireless sensor networks I. INTRODUCTION IRELESS Sensor Networks (WSNs) are emerging as a promising technology because of their wide range of applications in industrial, environmental monitoring, military and civilian domains [1-5]. Due to economic considerations, the nodes are usually simple and low cost. They are often unattended, however, and are hence likely to suffer from different types of novel attacks [6-8]. A black hole attack (BLA) is one of the most typical attacks [9] and works as

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Section: Related Workmentioning

confidence: 99%

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Liu

Dong

Ota

2016

IEEE Trans.Inform.Forensic Secur.

325

169

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“…According to the concept of Euclidian distance the nodes start detecting their neighbors by sending the route request packets to the neighbors [6]. The route request and the node acknowledgment is provided while detecting the shortest path from the source node to the sink node [8].…”

Section: Node Deployment Algorithmmentioning

confidence: 99%

Reliable and Secured Routing in Wireless Sensor Networks using Active Trust

Sneha¹,

Akhila²

2017

IJCA

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A Wireless Sensor Network (WSN) comprises of devices that are autonomously distributed in space used to supervise the physical and environmental conditions with the help of sensors. They are mainly used in security critical applications such as monitoring the environment, tracking the surroundings and controlling areas. Security is an important requirement in WSNs. Because of the resource limitation and computational constraints the WSNs are transparent to various security attacks. Black hole attack is a serious attack which badly affects the packet transfer from source to destination. Here the Active Trust scheme is used to avoid the Black hole attack. The Active Trust scheme avoids the black holes through Active detection routing and data routing which improves the route security. The results obtained will indicate that the Active Trust scheme can achieve the same throughput as that of the normal Wireless Sensor Network without black holes. This shows the importance of Active Trust scheme in black hole attacks.

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“…The goal of jellyfish attack is to reduce the performance of network to near about zero without dropping zero or negligible number of packets. Jellyfishattack can be classified into three categories [16,17]: 1) JF reorder attack 2)Periodic Dropping Attack 3)Delay variance attack.…”

Section: Jellyfishattackmentioning

confidence: 99%