Bayesian network based trust model with time window for Pure P2P computing systems

Dubey, Jigyasu; Tokekar, Vrinda

doi:10.1109/gcwcn.2014.7030882

Cited by 10 publications

(10 citation statements)

References 12 publications

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“…To demonstrate the performance of our LCT model, we deploy and implement a cross-domain scenario, and conduct comprehensive experiments and analysis in this work. The results indicate that our LCT model is superior to the BN model [4] and the CR model, and significantly improves the successful interaction rates of the honest entities without increasing the risks of interacting with the malicious entities. The remainder of this paper is organized as follows.…”

Section: ) Our Lct Model Is Of High Performancementioning

confidence: 90%

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LCT: A Lightweight Cross-domain Trust Model for the Mobile Distributed Environment

Liu¹,

Jiang

et al. 2016

KSII TIIS

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In the mobile distributed environment, an entity may move across domains with great frequency. How to utilize the trust information in the previous domains and quickly establish trust relationships with others in the current domain remains a challenging issue. The classic trust models do not support cross-domain and the existing cross-domain trust models are not in a fully distributed way. This paper improves the outstanding Certified Reputation (CR) model and proposes a Lightweight Cross-domain Trust (LCT) model for the mobile distributed environment in a fully distributed way. The trust certifications, in which the trust ratings contain various trust aspects with different interest preference weights, are collected and provided by the trustees. Furthermore, three factors are comprehensively considered to ease the issue of collusion attacks and make the trust certifications more accurate. Finally, a cross-domain scenario is deployed and implemented, and the comprehensive experiments and analysis are conducted. The results demonstrate that our LCT model obviously outperforms the Bayesian Network (BN) model and the CR model in our cross-domain scenario, and significantly improves the successful interaction rates of the honest entities without increasing the risks of interacting with the malicious entities.

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Section: ) Our Lct Model Is Of High Performancementioning

confidence: 90%

“…Honest behaviors should be stimulated while malicious ones should be punished. Recently, a mass of trust models for the mobile distributed environment have been proposed [3][4][5][6][7][8][9][10][11][12][13][14]. In the classic trust models (as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

LCT: A Lightweight Cross-domain Trust Model for the Mobile Distributed Environment

Liu¹,

Jiang

et al. 2016

KSII TIIS

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“…Trust factor has been introduced by using probability function. [8] Author represents task scheduling in multiprocessor system. By creating a queue, a novel scheduling approach has been designed, which uses a searching algorithm that is breath first search.…”

Section: Task Scheduling Algorithmsmentioning

confidence: 99%

Optimized Task Scheduling Algorithms in Distributed Computing: A Review

Tyagi¹,

Sharma²

2019

IJCA

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Cost is becoming the fruity factor to show the performance for any kind of experiment. Task scheduling algorithms are the valuable term in these days because of its performance in distributed computing environment. Market wants to pay minimum cost for every aspect. Task scheduling is performing the lead role in distributed computing with reducing cost. Various optimized task scheduling has been developed for execute the task efficiently. This paper proves that optimized task scheduling algorithms are better than traditional one's ever.

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“…In this paper, we focus on a Bayesian perspective for trust modeling for agents in networked computing systems. In spite of a few attempts to model trust using Bayesian techniques [76,77,78,79,80,81,82,83,84,85], the field lacks a global overview for variants of Bayesian trust models and a discussion on their connections between each other. We present a study to fill in this gap.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Trust Modeling from a Bayesian Perspective

Liu

2020

Wireless Pers Commun

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In this paper, we are concerned with trust modeling for agents in networked computing systems. As trust is a subjective notion that is invisible, implicit and uncertain in nature, many attempts have been made to model trust with aid of Bayesian probability theory, while the field lacks a global comprehensive analysis for variants of Bayesian trust models. We present a study to fill in this gap by giving a comprehensive review of the literature. A generic Bayesian trust (GBT) modeling perspective is highlighted here. It is shown that all models under survey can cast into a GBT based computing paradigm as special cases. We discuss both capabilities and limitations of the GBT perspective and point outopen questions to answer for advancing it to become a pragmatic infrastructure for analyzing intrinsic relationships between variants of trust models and for developing novel ones for trust evaluation.

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Bayesian network based trust model with time window for Pure P2P computing systems

Cited by 10 publications

References 12 publications

LCT: A Lightweight Cross-domain Trust Model for the Mobile Distributed Environment

LCT: A Lightweight Cross-domain Trust Model for the Mobile Distributed Environment

Optimized Task Scheduling Algorithms in Distributed Computing: A Review

A Survey on Trust Modeling from a Bayesian Perspective

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