Real-time and passive wormhole detection for wireless sensor networks

Luo, Guoxing; Han, Zhigang; Lu, Li; Hussain, Muhammad Jawad

doi:10.1109/padsw.2014.7097858

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…Luo et al [75] presented a real-time and passive wormhole detection method, named Pworm, which can detect and locate malicious nodes in a stationary network based on the insight that the path length would reduce and the traffic flow would increase around wormhole nodes. This method runs in a stationary network to trace malicious nodes.…”

Section: Wormhole Attack (Wa)mentioning

confidence: 99%

Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

Xie

Yan

Yao

et al. 2019

IEEE Internet Things J.

154

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Wireless Sensor Network (WSN) is an indispensible part of IoT that has been applied in many fields to monitor environments and collect data from surroundings. However, WSNs are highly susceptible to attacks due to its unique characteristics: large-scale, self-organization, dynamic topology and constrained resources. A number of systems have been proposed to effectively detect varieties of attacks in WSNs. However, most previous surveys on WSN attacks focus on detection methods for only one or two types of attacks and lack detailed performance analysis. Additionally, the literature lacks comprehensive studies on security-related data (in short security data) collection in WSNs. In this paper, we first provide an overview of WSNs and classify the attacks in WSNs based on protocol stack layers. For the purpose of WSN security measurement, we then research attack detection methods of eleven mainstream attacks. We extract security data that play an important role for detecting security anomaly towards security measurement. We further elaborate the advantages and disadvantages of the existing detection methods based on a number of evaluation criteria. Finally, we highlight a number of open problems in this research field based on our thorough survey and conclude this paper with possible future research directions.

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Section: Wormhole Attack (Wa)mentioning

confidence: 99%

Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

Xie

Yan

Yao

et al. 2019

IEEE Internet Things J.

154

View full text Add to dashboard Cite

show abstract

“…A malicious attacker may also use wormhole attacks and Sybil attacks to disable networks by creating fake network resources [ 9 ]. The increase in security attacks such as single point failure, wormhole attacks [ 10 ], and Sybil attacks [ 11 ] makes optical networks insecure and unreliable [ 1 ], and can cause huge data and revenue losses [ 2 ]. Hence, securing optical networks against various attacks is paramount.…”

Section: Introductionmentioning

confidence: 99%

Securing Optical Networks Using Quantum-Secured Blockchain: An Overview

Sharma

Bhatia

Prakash³

2023

Sensors

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The deployment of optical network infrastructure and development of new network services are growing rapidly for beyond 5/6G networks. However, optical networks are vulnerable to several types of security threats, such as single-point failure, wormhole attacks, and Sybil attacks. Since the uptake of e-commerce and e-services has seen an unprecedented surge in recent years, especially during the COVID-19 pandemic, the security of these transactions is essential. Blockchain is one of the most promising solutions because of its decentralized and distributed ledger technology, and has been employed to protect these transactions against such attacks. However, the security of blockchain relies on the computational complexity of certain mathematical functions, and because of the evolution of quantum computers, its security may be breached in real-time in the near future. Therefore, researchers are focusing on combining quantum key distribution (QKD) with blockchain to enhance blockchain network security. This new technology is known as quantum-secured blockchain. This article describes different attacks in optical networks and provides a solution to protect networks against security attacks by employing quantum-secured blockchain in optical networks. It provides a brief overview of blockchain technology with its security loopholes, and focuses on QKD, which makes blockchain technology more robust against quantum attacks. Next, the article provides a broad view of quantum-secured blockchain technology. It presents the network architecture for the future research and development of secure and trusted optical networks using quantum-secured blockchain. The article also highlights some research challenges and opportunities.

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“…Next, let us understand other limitations of existing algorithms for handling colluders. Typically, these algorithms assume the existence of trusted third parties (e.g., a trusted base station, such as in [ 20 ]). This is problematic for several reasons.…”

Section: Introductionmentioning

confidence: 99%

Secure Localization in the Presence of Colluders in WSNs

Shi

Barbeau

Corriveau

et al. 2017

Sensors

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We address the challenge of correctly estimating the position of wireless sensor network (WSN) nodes in the presence of malicious adversaries. We consider adversarial situations during the execution of node localization under three classes of colluding adversaries. We describe a decentralized algorithm that aims at determining the position of nodes in the presence of such colluders. Colluders are assumed to either forge or manipulate the information they exchange with the other nodes of the WSN. This algorithm allows location-unknown nodes to successfully detect adversaries within their communication range. Numeric simulation is reported to validate the approach. Results show the validity of the proposal, both in terms of localization and adversary detection.

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Real-time and passive wormhole detection for wireless sensor networks

Cited by 6 publications

References 16 publications

Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

Securing Optical Networks Using Quantum-Secured Blockchain: An Overview

Secure Localization in the Presence of Colluders in WSNs

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