Big Data Oriented Fuzzy Based Continuous Reputation Systems for VANET
29 Nov 2018-pp 1665-1679
TL;DR: In this paper, the authors proposed a continuous rating scheme for the vehicles to offer better authenticity and reliability to the nodes in the network, which can be made a continuous defining the performance of the vehicle over a short period of time.
Abstract: The reputation of the vehicle in the network plays a major role in providing reliability of the information being transmitted by the vehicle. Vehicles can earn a reputation score based on the trust worthiness of the message being transmitted and their level of acceptance in the network by the peer nodes. When the messages are transmitted along with the rating earned by the vehicle, the messages are accepted with a lesser rejection rate. These values of reputation can be made a continuous defining the performance of the vehicle over a short period of time. The proposed approach is to design a continuous rating scheme for the vehicles to offer better authenticity and reliability to the nodes in the network.
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TL;DR: In this article , a reputation model is proposed to support decision-making in trust management by minimizing bias in indirect trust information and fostering fairly the relationship among sentiment and non-sentiment objects.
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References
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Book•
01 Jan 1995TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
Abstract: FUNDAMENTALS OF BAYESIAN INFERENCE Probability and Inference Single-Parameter Models Introduction to Multiparameter Models Asymptotics and Connections to Non-Bayesian Approaches Hierarchical Models FUNDAMENTALS OF BAYESIAN DATA ANALYSIS Model Checking Evaluating, Comparing, and Expanding Models Modeling Accounting for Data Collection Decision Analysis ADVANCED COMPUTATION Introduction to Bayesian Computation Basics of Markov Chain Simulation Computationally Efficient Markov Chain Simulation Modal and Distributional Approximations REGRESSION MODELS Introduction to Regression Models Hierarchical Linear Models Generalized Linear Models Models for Robust Inference Models for Missing Data NONLINEAR AND NONPARAMETRIC MODELS Parametric Nonlinear Models Basic Function Models Gaussian Process Models Finite Mixture Models Dirichlet Process Models APPENDICES A: Standard Probability Distributions B: Outline of Proofs of Asymptotic Theorems C: Computation in R and Stan Bibliographic Notes and Exercises appear at the end of each chapter.
16,079 citations
Proceedings Article•
01 Jan 2002TL;DR: A new reputation system based on using beta probability density functions to combine feedback and derive reputation ratings is described which is flexibility and simplicity as well as its foundation on the theory of statistics.
Abstract: Reputation systems can be used to foster good behaviour and to encourage adherence to contracts in e-commerce. Several reputation systems have been deployed in practical applications or proposed in the literature. This paper describes a new system called the beta reputation system which is based on using beta probability density functions to combine feedback and derive reputation ratings. The advantage of the beta reputation system is flexibility and simplicity as well as its foundation on the theory of statistics.
1,638 citations
01 Jan 2004
TL;DR: In this paper, a statistical ltering technique for excluding unfair ratings is described, and the effectiveness of the technique is demonstrated through simulations. But it is often the case that unfair ratings have a different statistical pattern than fair ratings, which makes it difficult to know when a rater provides such unfair ratings.
Abstract: The quality of a reputation system depends on the integrity of the ratings it receives as input. A fundamental problem is that a rater can rate an agent more positively or more negatively than the real experience with the agent would dictate. When ratings are provided by agents outside the control of the relying party, it is a priori impossible to know when a rater provides such unfair ratings. However, it is often the case that unfair ratings have a different statistical pattern than fair ratings. This paper uses that idea, and describes a statistical ltering technique for excluding unfair ratings, and illustrates its effectiveness through simulations.
585 citations
TL;DR: The original proposal, TRIP, aimed to quickly and accurately distinguish malicious or selfish nodes spreading false or bogus messages throughout the network, and a set of design requirements for trust and reputation models specifically applicable to VANETs are suggested.
236 citations