A Robust Trust Establishment Scheme for Wireless  Sensor Networks

Ishmanov, Farruh; Kim, Sung Hoon; Nam, Seung Yeob

doi:10.3390/s150307040

Cited by 40 publications

(42 citation statements)

References 22 publications

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“…In [9], the creators utilized the weighting strategy for trust figuring and assessment. Ishmanov et al estimated the weight period of bad conduct of a hub for the recognition of malevolent hubs in the system [10]. Bao [13].…”

Section: Related Workmentioning

confidence: 99%

PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

Samraj*

2019

IJRTE

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Wireless sensor network (WSN) is a noteworthy division in present day correspondence frameworks and faith detecting steering convention is utilized to improve security in WSN. Already, Trust Sensing based Secure Routing Mechanism (TSSRM) was projected which will diminish the overhead steering and improve the unwavering quality of information transmission over the system. In any case, the security tool of this technique might be invalid, if the system steering convention is modified. Hence, in this work, a Parameter and Distributed Trust Based Intrusion Detection System (PDTB-IDS) with a safe correspondence structure with a trust the board framework for remote sensor systems are proposed. The significant commitment is to distinguish different parameters and trust factors that impact trust in WSN is conveyed among different factors, for example, vitality, unwavering quality, information, and so on. Subsequently coordinate believe, proposal believe and circuit trust from those components are determined and the general trust estimation of the sensor hub is evaluated by joining the individual trust esteems. The trust model can decide whether or not the specific hub is pernicious or not by looking at trust got from the proposed method. The numerical assessment of the research work is completed with the help of NS2 simulation environment from which it is proved that the projected strategy provides enhanced outcome than the present TSSRM method.

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Section: Related Workmentioning

confidence: 99%

PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

Samraj*

2019

IJRTE

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“…Trust threshold is used to differentiate between malicious and benevolent node. Trust threshold is selected as about half of the maximum trust value in the literature [2][3][4][8][9][10][11]. Hence, in these articles, defined trust threshold is between 0.4 and 0.8.…”

Section: Trust Thresholdmentioning

confidence: 99%

Trust Mechanisms to Secure Routing in Wireless Sensor Networks: Current State of the Research and Open Research Issues

Ishmanov

Zikria

2017

Journal of Sensors

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Routing is one of the most important operations in wireless sensor networks (WSNs) as it deals with data delivery to base stations. Routing attacks can cripple it easily and degrade the operation of WSNs significantly. Traditional security mechanisms such as cryptography and authentication alone cannot cope with some of the routing attacks as they come from compromised nodes mostly. Recently, trust mechanism is introduced to enhance security and improve cooperation among nodes. In routing, trust mechanism avoids/includes nodes in routing operation based on the estimated trust value. Many trust-based routing protocols are proposed to secure routing, in which they consider different routing attacks. In this research work, our goal is to explore the current research state and identify open research issues by surveying proposed schemes. To achieve our goal we extensively analyze and discuss proposed schemes based on the proposed framework. Moreover, we evaluate proposed schemes based on two important factors, which are energy consumption and attack resiliency. We discuss and present open research issues in the proposed schemes and research field.

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“…A robust trust establishment scheme for WSNs was proposed by Ishmanov et al in [50]. A simple trust estimation method Efficient Distributed Trust Model (EDTM) for WSNs for accurate evaluation of the trustworthiness of the nodes and for more effective prevention of node compromise [51].…”

Section: A Bio-inspired Trust and Reputation Model Called Btrm-wsn Bmentioning

confidence: 99%

Evaluation of Hybrid Trust Models Using Ant Colony Optimization in Wireless Sensor Networks

Baskaran¹,

Blessing

Lydia

2016

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Wireless sensor networks (WSNs) are prone to various kinds of threats and are subjected to several constraints like energy, communication overhead and lifetime. Application of bio-inspired algorithms based trust models has shown significant improvement in the security mechanism of the wireless sensor networks. This paper presents a brief survey on application of Ant Colony Optimization (ACO) and significance of trust models in WSNs. ACO application in routing, increase in lifetime, energy efficiency, intrusion detection and security has been presented. The performance of three hybrid trust models is evaluated based on the path length, trust calculation and energy consumption using ACO.

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A Robust Trust Establishment Scheme for Wireless Sensor Networks

Cited by 40 publications

References 22 publications

PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

PDTB-IDS: A Parameter and Distributed Trust Based Intrusion Detection System for Wireless Sensor Network

Trust Mechanisms to Secure Routing in Wireless Sensor Networks: Current State of the Research and Open Research Issues

Evaluation of Hybrid Trust Models Using Ant Colony Optimization in Wireless Sensor Networks

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