Pheromone and Path Length Factor-Based Trustworthiness Estimations in Heterogeneous Wireless Sensor Networks

Verma, Vinod Kumar

doi:10.1109/jsen.2016.2627041

Cited by 20 publications

(4 citation statements)

References 26 publications

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“…The resource utilization and energy consumption are the most important concerns to determine trustworthiness of any reputation model associated with heterogeneous (WSNs). Verma et al [34] presented bio-inspired linguistic fuzzy reputation and reputation model (LFTM) in terms of energy consumption of sensor node, accuracy and path length. Verma et al [35] proposed a model including five trust and reputation models namely: eigen trust, peer trust, power trust, linguistic fuzzy trust and reputation and bio-inspired trust and reputation.…”

Section: Security and Trustwothiness Of Iot Based Wsnmentioning

confidence: 99%

Internet of things based wireless sensor network: a review

Nourildean

Hassib

Mohammed

2022

IJEECS

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Recently, Internet of Things (IoT) technologies are developing technology with a variety of applications. The Internet of Things (IoTs) is defined as a network of ordinary objects such as Internet TVs, smartphones, actuators and sensors that are smartly connected together to enable new types of communication between people and things as well as between things themselves. Wireless sensor networks (WSNs) play an important part in Internet of Things (IoT) technology. A contribution to wireless sensor networks and IoT applications is wireless sensor nodes’ construction with high-speed CPUs and low-power radio links. The IoT-based wireless Sensor network (WSN) is a game-changing smart monitoring solution. ZigBee standard is an important wireless sensor network (WSN) and Internet of Things (IoT) communication protocol in order to facilitate low-power, low-cost IoT applications and to handle numerous network topologies. This paper presented a review on the energy efficient and routing topologies of ZigBee WSN, applications of IoT enabled Wireless Sensor Network as well IoT WSN security challenges.

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Section: Security and Trustwothiness Of Iot Based Wsnmentioning

confidence: 99%

Internet of things based wireless sensor network: a review

Nourildean

Hassib

Mohammed

2022

IJEECS

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“…Verma et al have studied the several popular trust and reputation models for WSN environment. The work of Verma 50 highlighted that the pheromone, path length factor could strongly affect trust and reputation in heterogeneous WSNs. Furthermore, Verma et al 51 utilized five trust and reputation models to investigate the impact of different WSN modes on performance accuracy, path length, and energy consumption.…”

Section: Related Workmentioning

confidence: 99%

TAEffect: Quantifying interaction risks in trust‐enabled communication systems

Fan

Jing

2022

Int J Communication

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The interactive risks of different devices, serving as clients or servers, have increasingly attracted huge attention in various communication systems, such as wireless sensor networks, wireless communication networks, and mobile crowd-sensing. At present, lots of countermeasures had been proposed and deployed accordingly. Nevertheless, the investigation on the interaction risks between different devices is still very limited to date. In this paper, we propose a novel adverse effect inference mechanism TAEffect for malicious behaviors of devices emerged in various decentralized and open communication systems/networks through network-percolation theory. At first, four typical malicious interactional behaviors are mapped into four topologies, then, upon which a network influence-inspired approach is employed to quantify the adverse effect. Finally, multifacet experiments using five real-world datasets and a synthetic testbed are performed to validate the efficiency and effectiveness. The experimental results show our proposed approach is significant and rational to quantitatively calculate and qualitatively mirror the four kinds of malicious interactional behaviors in diverse misbehavior-emerged communication systems.

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“…In general, only if the condition X = Y is satisfied that is the best selected point in elliptic curve. The X and Y is X = mod (E,pn) ……(4) Y = mod ((S(j)) 2 , pn) ……(5)…”

Section: F H-mac Mechanismmentioning

confidence: 99%

An Improved Approach in Malicious Node Detection using HMAC Balanced Load Sub Cluster Head Selection for WSN

Sneha¹

2019

IJRASET

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Wireless Sensor Network played a vital role in several sectors. But still there is a research gape in the area of energy efficiency and privacy issues in WSN. After the analysis of earlier methods, to avoid those issues a new prototype was created called as Advanced Malicious Detection using HMAC Balanced load Sub Cluster Head Selection for WSN. In the network it concentrated two attacks namely Black hole attack and Sybil attack. And also to reduce the energy consumption of the network the concept of balanced load is incorporated with hybrid medium access control protocol. And the concept of sub cluster head selection works for both reduction of energy consumption and also to prevent the network from the black hole and Sybil attack. During the performance analysis the results like energy efficiency, network end to end delay, reliability, integrity, confidentiality, packet delivery ratio, network throughput, energy consumption, packet loss are calculated.

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Pheromone and Path Length Factor-Based Trustworthiness Estimations in Heterogeneous Wireless Sensor Networks

Cited by 20 publications

References 26 publications

Internet of things based wireless sensor network: a review

Internet of things based wireless sensor network: a review

TAEffect: Quantifying interaction risks in trust‐enabled communication systems

An Improved Approach in Malicious Node Detection using HMAC Balanced Load Sub Cluster Head Selection for WSN

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