A Survey of Trusted Network Trust Evaluation Methods

Yin, Ansheng; Zhang, Shunyi

doi:10.1007/978-3-030-21373-2_8

Cited by 2 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, we discuss and examine the trust management mechanisms which are based on various probability distributions such as Dirichlet distribution, Beta distribution, and Gaussian distribution, and later, the technical specifications of these distributions are described. Generally, the reputation model in trust management mechanisms uses a probabilistic model or the statistical model for trust calculations, among these techniques the Beta distribution [7] is most commonly used probabilistic distribution for trust, and then in some schemes the Gaussian distribution is embedded [8].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Yin et. al., in [8] investigated a penalty-based trust model for Wireless Sensor Network. This model completely relies on Beta Probability mathematical distribution.…”

Section: B Trust Models: Beta Distributionmentioning

confidence: 99%

“…It is represented using (γ history ). The Dirichlet probability with the mapped parameters is given below in Equation (8).…”

Section: A First-hand Communication: Reputation Value Calculationmentioning

confidence: 99%

See 2 more Smart Citations

DTM-CPS: Dynamic Trust Management Mechanism for Cyber Physical System based on Dirichlet Reputation System

Devi¹,

Karmel²,

Umamaheswari³

et al. 2023

IJCDS

View full text Add to dashboard Cite

In Cyber Physical System (CPS), data protection is considered as an important factor when sensors are employed in hostile environment. The sensors are highly prone for security threats like compromised nodes, who's crypto keys embedded in the security chip are physically captured by adversaries easily. Compromised node attack are launched by the attackers by physically capturing the cryptographic keys in remote region and becoming the internal node. Traditional protection mechanisms are mostly based on cryptography, which failed to address this kind of threat. Trust Management Mechanism based on rating, ranking, weight schemes help in building a secure, flexible and available system and provides second level of security for such compromised node attack. This paper presents a dynamic trust management mechanism for Cyber Physical System based on Dirichlet Reputation System (DTM-CPS). The simulation result shows that, this DTM-CPS has a better performance and security for CPS than traditional trust management mechanisms.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…Yin et. al., in [8] investigated a penalty-based trust model for Wireless Sensor Network. This model completely relies on Beta Probability mathematical distribution.…”

Section: B Trust Models: Beta Distributionmentioning

confidence: 99%

See 1 more Smart Citation

DTM-CPS: Dynamic Trust Management Mechanism for Cyber Physical System based on Dirichlet Reputation System

Devi¹,

Karmel²,

Umamaheswari³

et al. 2023

IJCDS

View full text Add to dashboard Cite

show abstract

Off-Street Vehicular Fog for Catering Applications in 5G/B5G: A Trust-Based Task Mapping Solution and Open Research Issues

Rahman

Newaz

et al. 2020

IEEE Access

View full text Add to dashboard Cite

One of the key enablers in serving the applications requiring stringent latency in 5G networks is fog computing as it is situated closer to the end users. With the technological advancement of vehicles' on-board units, their computing capabilities are becoming robust, and considering the underutilization of the off-street vehicles, we envision that the off-street vehicles can be an enormously useful computational source for the fog computing. Additionally, clustering the vehicles would be advantageous in order to improve the service availability. As the vehicles become highly connected, trust is needed especially in distributed environments. However, vehicles are made from different manufacturers, and have different platforms, security mechanisms, and varying parking duration. These lead to the unpredictable behavior of the vehicles where quantifying trust value of vehicles would be difficult. A trust-based solution is necessary for task mapping as a task has a set of properties including expected time to complete, and trust requirements that need to be met. However, the existing metrics used for trust evaluation in the vehicular fog computing such as velocity and direction are not applicable in the off-street vehicle fog environments. In this paper, we propose a framework for quantifying the trust value of off-street vehicle fog computing facilities in 5G networks and forming logical clusters of vehicles based on the trust values. This allows tasks to be shared with multiple vehicles in the same cluster that meets the tasks' trust requirements. Further, we propose a novel task mapping algorithm to increase the vehicle resource utilization and meet the desired trust requirements while maintaining imposed latency requirements of 5G applications. Results obtained using iFogSim simulator demonstrate that the proposed solution increases vehicle resource utilization and reduces task drop noticeably. This paper presents open research issues pertaining to the study to lead the way for future research directions.

show abstract

A Survey of Trusted Network Trust Evaluation Methods

Cited by 2 publications

References 37 publications

DTM-CPS: Dynamic Trust Management Mechanism for Cyber Physical System based on Dirichlet Reputation System

DTM-CPS: Dynamic Trust Management Mechanism for Cyber Physical System based on Dirichlet Reputation System

Off-Street Vehicular Fog for Catering Applications in 5G/B5G: A Trust-Based Task Mapping Solution and Open Research Issues

Contact Info

Product

Resources

About