Lightweight cloned‐node detection algorithm for efficiently handling SSDF attacks and facilitating secure spectrum allocation in CWSNs

Chatterjee, Pinaki Sankar; Roy, Monideepa

doi:10.1049/iet-wss.2016.0065

Cited by 17 publications

(7 citation statements)

References 29 publications

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“…From the attacker's point of view, SSDF attack strategies can be divided into Always-Yes attack, Always-No attack, Always-False attack, Hit-and-Run attack, probability attack, and so on. 11 To deal with the serious damage on the reliability of CSS through data falsification injection, several works have been investigated to defense against SSDF attacks. The statistical features of node's sensing results can be employed to identify MUs.…”

Section: Related Workmentioning

confidence: 99%

Mitigation strategy against spectrum-sensing data falsification attack in cognitive radio sensor networks

Wan

Ding

Xiong

et al. 2019

International Journal of Distributed Sensor Networks

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To detect the primary user’s activity accurately in cognitive radio sensor networks, cooperative spectrum sensing is recommended to improve the sensing performance and the reliability of spectrum-sensing process. However, spectrum-sensing data falsification attack being launched by malicious users may lead to fatal mistake of global decision about spectrum availability at the fusion center. It is a tough task to mitigate the negative effect of spectrum-sensing data falsification attack and even eliminate these attackers from the network. In this article, we first discuss the randomly false attack model and analyze the effects of two classes of attacks, individual and collaborative, on the global sensing performance at the fusion center. Afterwards, a linear weighted combination scheme is designed to eliminate the effects of the attacks on the final sensing decision. By evaluating the received sensing result, each user can be assigned a weight related to impact factors, which includes result consistency degree and data deviation degree. Furthermore, an adaptive reputation evaluation mechanism is introduced to discriminate malicious and honest sensor node. The evaluation is conducted through simulations, and the results reveal the benefits of the proposed in aspect of mitigation of spectrum-sensing data falsification attack.

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Section: Related Workmentioning

confidence: 99%

Mitigation strategy against spectrum-sensing data falsification attack in cognitive radio sensor networks

Wan

Ding

Xiong

et al. 2019

International Journal of Distributed Sensor Networks

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“…Pinaki Sankar Chatterjee et al [295] proposed a lightweight algorithm to detect the clone nodes in Cognitive Wireless Sensor Networks (CWSN). In this system, for every specified time interval, LEACH protocol elects the Cluster Head (CH), and that acts as a Monitoring Node (MN).…”

Section: ) Node Replication Attacksmentioning

confidence: 99%

An Empirical Study on System Level Aspects of Internet of Things (IoT)

2020

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Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and Communication technologies. The purpose of the IoT is to provide seamless services to anything, anytime at any place. IoT technologies play a crucial role everywhere, which brings the fourth revolution of disruptive technologies after the internet and Information and Communication Technology (ICT). The Research & Development community has predicted that the impact of IoT will be more than the internet and ICT on society, which improves the wellbeing of society and industries. Addressing the predominant system-level design aspects like energy efficiency, robustness, scalability, interoperability, and security issues result in the use of a potential IoT system. This paper presents the current state of art of the functional pillars of IoT and its emerging applications to motivate academicians and researches to develop real-time, energy-efficient, scalable, reliable, and secure IoT applications. This paper summarizes the architecture of IoT, with the contemporary status of IoT architectures. Highlights of the IoT system-level issues to develop more advanced real-time IoT applications have been discussed. Millions of devices exchange information using different communication standards, and interoperability between them is a significant issue. This paper provides the current status of the communication standards and application layer protocols used in IoT with the detailed analysis. The computing paradigms like Cloud, Cloudlet, Fog, and Edge computing facilitate IoT with various services like data offloading, resource and device management, etc. In this paper, an exhaustive analysis of Edge Computing in IoT with different edge computing architectures and existing status are deliberated. The widespread adoption of IoT in society has resulted in privacy and security issues. This paper emphasizes on analyzing the security challenges, privacy and security threats, conventional mitigation techniques, and further scope for IoT security. The features like fewer memory footprints, scheduling, real-time task execution, fewer interrupt, and thread switching latency of Real-Time Operating Systems (RTOS) enables the development of time critical IoT applications. Also, this review offers the analysis of the RTOS's suitable for IoT with the current status and networking stack. Finally, open research issues in IoT system development are discussed.

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“…Although plenty of the literature and comprehensive research on SSDF attack and defense has been made, most of them will be not specifically suited for CWSNs [23,24]. Basically, the reason is that the framework of resourceconstrained sensor nodes are not be considered, especially in aspect of the limitation of processing capacity and battery power.…”

Section: Related Workmentioning

confidence: 99%

An Enhanced Cooperative Spectrum Sensing Scheme Against SSDF Attack Based on Dempster-Shafer Evidence Theory for Cognitive Wireless Sensor Networks

Yao

Yuan

et al. 2020

IEEE Access

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Due to the potential applicability of spectrum sensing, cognitive wireless sensor networks have attracted plenty of interest in the research community to improve the bandwidth utilization for practical applications. To alleviate the effect of multi-path fading and resolve the problem of hidden terminal, collaborative spectrum sensing (CSS) is regarded as effective technology to obtain better sensing accuracy. However, CSS is usually vulnerable to the attack behaviors originated from malicious sensor nodes. In this paper, an enhanced cooperative spectrum sensing scheme against SSDF attack based on Dempster-Shafer evidence theory for cognitive wireless sensor networks is introduced. First, the holistic credibility of sensor nodes can be evaluated according to the real-time difference between them and the statistical sensing behaviors. Furthermore, the basic probability assignment function can be defined based on evidence theory, and the credibility of sensor nodes can be estimated. Finally, by using the weighted probability assignment for each cognitive sensor node, the fusion center can reduce the influence of malicious sensor nodes on the final decision and ensure the reliability of reports from cooperative sensor nodes. Simulation results demonstrate that the proposed method can resist SSDF attacks significantly and outperform the traditional secure schemes in aspect of sensing accuracy.

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Lightweight cloned‐node detection algorithm for efficiently handling SSDF attacks and facilitating secure spectrum allocation in CWSNs

Cited by 17 publications

References 29 publications

Mitigation strategy against spectrum-sensing data falsification attack in cognitive radio sensor networks

Mitigation strategy against spectrum-sensing data falsification attack in cognitive radio sensor networks

An Empirical Study on System Level Aspects of Internet of Things (IoT)

An Enhanced Cooperative Spectrum Sensing Scheme Against SSDF Attack Based on Dempster-Shafer Evidence Theory for Cognitive Wireless Sensor Networks

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