A Comparison of Link Layer Attacks on Wireless Sensor Networks

Mohammadi, Shahriar; Atani, Reza Ebrahimi; Jadidoleslamy, Hossein

doi:10.4236/jis.2011.22007

Cited by 30 publications

(61 citation statements)

References 19 publications

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“…These methods underline the assumption that wormhole nodes cannot sense any detection event. In contrast, an active wormhole attacker can actively sense the symptoms of detection event and can temporarily pause its attack to avoid the detection [39][40][41][42]. To address this situation, we propose a real-time wormhole detection scheme which is well suited for the detection of both passive and active wormhole attackers.…”

Section: Discussionmentioning

confidence: 99%

Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs

Hussain

Luo

et al. 2015

International Journal of Distributed Sensor Networks

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Wormhole attack is one of the severe threats to wireless sensor and ad hoc networks. Most of the existing countermeasures either require specialized hardware or demand high network overheads in order to capture the specific symptoms induced by the wormholes, which in result limits their applicability. In this paper, we exploit an inevitable symptom of wormholes and present Pworm, a passive wormhole detection and localization system based upon the key observation that a large amount of network traffic will be attracted by the wormholes. The proposed scheme is passive, real-time, and efficient against both active and passive wormholes. Our approach silently observes the variations in network topology to infer the wormhole existence and solely relies on network routing information. It does not necessitate specialized hardware or poses rigorous assumptions on network features. We evaluate our scheme through extensive simulations of 100 to 800 nodes for various network scales and show that Pworm is well suited for false alarms, scalability, and time delay in terms of activation as well as detection latencies.

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Section: Discussionmentioning

confidence: 99%

Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs

Hussain

Luo

et al. 2015

International Journal of Distributed Sensor Networks

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“…Collision, exhaustion and unfairness are the attacks in data link layer [12]. The network layer is vulnerable to various type of attack such as spoofed, sinkhole, wormhole and hello flood attack.…”

Section: Layer Oriented Attacksmentioning

confidence: 99%

A Survey on Various Attacks and Countermeasures in Wireless Sensor Networks

Santhi¹,

Sowmiya²

2017

IJCA

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For past few years, more interest has been focused on Wireless Sensor Networks (WSN) due to its wide range of applications in various fields. The WSNs are mainly used for sensing the pollution, monitoring the traffic; secure homeland, hospitals, military etc. There are possibilities of attacks in Wireless Sensor networks. Due to these attacks, there is possibility of loss of information. To avoid the data loss and for secure transmission of data, several countermeasures have been introduced. The main focus of this paper is to provide a detailed survey on various attacks and the countermeasures employed to safeguard the network from malicious attacks.

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“…This notion of battery conservation extends to the primitives used to enforce security in WSNs. Security protocols strive to be lightweight, in terms of code size and processing requirements, while there is no degradation in their usefulness in achieving this goal [7].…”

Section: Introductionmentioning

confidence: 99%

Quality of Service Enhancement of Wireless Sensor Network Using Symmetric Key Cryptographic Schemes

Singh¹,

Dhanda²

2014

IJITCS

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Abstract-A Wireless Sensor Network is a combination of spatially distributed independent nodes deployed in dense environment, communicating wirelessly over limited bandwidth and frequency. Security and Qos is the major concern in wireless sensor network due to its wireless communication nature and constraints like low computation capability, less memory, bounded energy resources, susceptibility to physical capture or damages and the use of insecure wireless communication channels. These constraints make security along with the QoS, a challenge in wireless sensor network. The cryptographic schemes increases the level of security and make it secure against critical attacks but also has a significant impact on the QoS of wireless sensor network. In this paper, the different cryptographic schemes based on asymmetric key and symmetric key cryptography are evaluated. The symmetric key cryptography schemes require less time for processing, less power and also require less storage space as compared to asymmetric key cryptographic schemes, results in less impact on the QoS of wireless sensor network. In this paper, the QoS of wireless sensor network along with cryptographic schemes will be evaluated on the basis of metrics like throughput, jitter, endto-end delay, total packet received and energy consumption.

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A Comparison of Link Layer Attacks on Wireless Sensor Networks

Cited by 30 publications

References 19 publications

Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs

Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs

A Survey on Various Attacks and Countermeasures in Wireless Sensor Networks

Quality of Service Enhancement of Wireless Sensor Network Using Symmetric Key Cryptographic Schemes

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