Trust Computation Model Using Hysteresis Curve for Wireless Sensor Networks

Reddy, Vijender Busi; Negi, Atul; Venkataraman, S.

doi:10.1109/icsens.2018.8589697

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…Their ability to handle big data efficiently positions them as more suitable candidates for trust evaluation in complex network environments. As a result, there's a noticeable shift towards leveraging these advanced computational techniques in trust management systems, recognizing their potential to offer more dynamic, scalable, and efficient solutions for assessing node trustworthiness in the era of big data [10][11][12].…”

Section: Trust Management Mechanismmentioning

confidence: 99%

Trust management systems in Wireless Sensor Networks

Yue

2024

ACE

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The article begins by offering a comprehensive review of the current research landscape concerning trust management mechanisms. It elucidates the foundational concepts behind trust management mechanisms, subsequently detailing various attack models and the inherent vulnerabilities they exploit. A significant portion of the discussion delves into the primary computational methodologies employed in trust management. These encompass a range of techniques such as Bayesian statistics, subjective logic, fuzzy logic, D-s evidence theory, entropy theory, cloud theory, hierarchical analysis, fog computing, and machine learning. From this foundational understanding, the piece transitions to outline the challenges poised to shape the evolution of trust management mechanisms. This section not only emphasizes the hurdles currently faced by researchers and practitioners but also attempts to forecast the potential obstacles of the future. In culmination, the article encapsulates both the current state of research and the anticipated directions that promise to steer the trajectory of trust management mechanisms in forthcoming years. This holistic perspective aims to provide readers with a clear roadmap of the field's progression, emphasizing both its achievements and the milestones yet to be attained.

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Section: Trust Management Mechanismmentioning

confidence: 99%

Trust management systems in Wireless Sensor Networks

Yue

2024

ACE

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“…Reddy et al [85] proposed a trust management scheme based on Hysteresis Curve for WSN. This scheme provides security against various security threats which includes the wrong decision also.…”

Section: Distributed Trust Managementmentioning

confidence: 99%

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Gautam

Kumar

2021

SN Appl. Sci.

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Wireless sensor networks (WSN) are the new speed-accelerating technologies worldwide and are used continuously in a range of critical applications. Any damage or compromise to data security could have physical and direct effects on network efficiency and safety. One of the active areas of research is key management, authentication, and trust management in wireless sensor networks (WSN). Since researchers have provided many protection schemes, it is difficult to select which key management or trust management schemes in a specific WSN application suit best. We did a detailed survey in our paper on how the properties of various trust management, authentication, and key management schemes can be used for specific applications. Based on this review, we present the methodologies, advantages, and limitations of the previously proposed key management, authentication, and trust management scheme in WSN. The goal of this thorough analysis is to compare and find the correct security solution that successfully meets the requirements of the application. Moreover, the strength, weaknesses, and open problems are added that can extend more frontiers to get the best security solutions in the future.s

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“…Reddy et al [57] proposed ''Trust Computation Model Using Hysteresis Curve for Wireless Sensor Networks'' to protect the WSN from various security threats as well as wrongs decisions. This model uses a differential method for direct trust evaluation and hysteresis curve for indirect trust and compare it with cos function to measure its effectiveness.…”

Section: Related Workmentioning

confidence: 99%

A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks

et al. 2019

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With the wide applications of wireless sensor networks (WSNs) in various fields, such as environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust establishment among sensor nodes becomes a vital requirement to improve security, reliability, and successful cooperation. The existing trust management approaches for large-scale WSN are failed due to their low dependability (i.e., cooperation), higher communication, and memory overheads (i.e., resource inefficient). In this paper, we propose a novel and comprehensive trust estimation approach (LTS) for large-scale WSN that employs clustering to improve cooperation, trustworthiness, and security by detecting malicious (faulty or selfish) sensor nodes with reduced resource (memory and power) consumption. The proposed scheme (LTS) operates on two levels, namely, intra-cluster and inter-cluster along with distributed approach and centralized approach, respectively, to make accurate trust decision of sensor nodes with minimum overheads. LTS consists of unique features, such as robust trust estimation function, attack resistant, and efficient trust aggregation at the cluster, head to obtain the global feedback trust value. Data trust along with communication trust plays a significant role to cope with malicious nodes. In LTS, punishment and trust severity can be tuned according to the application requirement, which makes it an innovative LTS. Moreover, dishonest recommendations (outliers) are eliminated before aggregation at the base station by observing the statistical dispersion. The theoretical and mathematical validations along with simulation results exhibit the great performance of our proposed approach in terms of trust evaluation cost, prevention, and detection of malicious nodes as well as communication overhead.INDEX TERMS Trust management, data trust, communication trust, attack mitigation.

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Trust Computation Model Using Hysteresis Curve for Wireless Sensor Networks

Cited by 8 publications

References 8 publications

Trust management systems in Wireless Sensor Networks

Trust management systems in Wireless Sensor Networks

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks

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