Find my trustworthy fogs: A fuzzy-based trust evaluation framework

Rahman, Fatin Hamadah; Au, Thien Wan; Newaz, S. H. Shah; Suhaili, Wida Susanty; Lee, Gyu Myoung

doi:10.1016/j.future.2018.05.061

Cited by 54 publications

(22 citation statements)

References 31 publications

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“…Furthermore, such broker would have trust evaluation capabilities that are essential in the VFC due to the dynamic and heterogeneous environment. Depending on the context, the trust evaluation can be derived from suitable metrics such as security, recommendation, feedback [35], for parked vehicles, or using velocity, speed and direction for mobile vehicles [45].…”

Section: Discussionmentioning

confidence: 99%

Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure

et al. 2020

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As most vehicles remain parked 95% of its time, this suggests that leveraging the use of On-board Units (OBUs) in parked vehicles would provide communication and computation services to other mobile and fixed nodes for delivery of services such as multimedia streaming, data storage and data processing. The nearby vehicles can form an infrastructure using IEEE 802.11p communication interface, facilitating communication, computation and storage services to the end users. We refer to this as a Vehicular Fog Computing (VFC) infrastructure. In this study, using NS-2 simulator, we investigate how six routing protocols consisting of two proactive routing protocols, Destination Sequence Destination Vector (DSDV) and Fisheye State Routing (FSR); two reactive routing protocols, Ad Hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR); and two geographic routing protocols, Distance Routing Effect Algorithm for Mobility (DREAM) and Location Aided Routing (LAR) perform when forwarding TCP traffic among the parked vehicles that form a VFC infrastructure in an urban street parking scenario. In order to reflect an urban street parking scenario, we consider a traffic mobility traces that are generated using SUMO in our simulation. To the best of our knowledge, this work is the first effort to understand how vehicle density, vehicle speed and parking duration can influence TCP in an urban street parking scenario when packet forwarding decision is made using proactive, reactive and geographic routing protocols. In our performance evaluation, positive results are observed on the influence of parking duration in parked vehicles as TCP performance in all routing protocols increases with longer parking duration. However, variable speed in parked vehicles and moving vehicles in an urban street parking scenario may not have significant influence on TCP performance, especially in case of reactive and proactive routing protocols. Further, our findings reveal that vehicle density in a VFC infrastructure can noticeably influence TCP performance. Towards the end of the paper, we delineate some important future research issues in order to improve routing performance in a street-parked vehicle based VFC infrastructure.

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Section: Discussionmentioning

confidence: 99%

Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure

et al. 2020

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“…Some papers propose a framework for resource management in fog/cloud [71], other propose a framework for trust management for IoT devices [51], [72], [73], and fog nodes [74]. Also, some papers focus on security issues [10], [75][76][77] or fault recovery [78].…”

Section: ) Framework Designmentioning

confidence: 99%

A Survey on Trustworthiness for the Internet of Things

Ribeiro

Kamienski

2021

IEEE Access

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IoT systems use sensors to collect data from smart environments and manage resources through data analysis. An IoT system deals with many connected devices with different network and hardware constraints in a real-world scenario. An IoT system needs to handle low-latency data analysis, security threats, internal vulnerabilities, and network disconnections, which cause data loss and incorrect decisions. Trustworthiness (also known as dependability) provides various features for an IoT end-to-end data flow, such as resilience, security, availability, reliability, scalability, maintainability, heterogeneity, hardware resources management, fault management policies, and data quality. This paper presents a survey on trustworthiness and dependability in IoT systems and proposes the Trustworthiness for IoT Framework (TW-IoT) to provide trustworthiness at the data level for mist and fog-based IoT systems. The TW-IoT framework provides data trustworthiness to ensure a continuous and uninterrupted operation of IoT data flow. We also discuss challenges and trade-offs related to data trustworthiness in IoT.

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“…In order to meet the trust requirements of tasks, a Simple Matching solution is presented in our previous study [55] where tasks are migrated from one fog to other fogs of similar trust value. Although the trust requirements of the tasks are met throughout their completion, the frequent migration implies an increase in processing delay.…”

Section: B Trust In Vehicular Environmentsmentioning

confidence: 99%

“…Fuzzy Control System (FCS) poses the ability to mimic the human mind to effectively employ modes of approximate reasoning rather than exact [74]. Motivated by the wide use of FCS in trust evaluation [55], [61], [75], we have adopted the FCS for trust evaluation in the FCSTE component in this study. The three metrics described previously form the set X = {security, availability, reputation} that are treated as the inputs of the FCS where each input is further characterized by a linguistic variable set, L = {poor, average, excellent}.…”

Section: B Workflow Of Proposed Solutionmentioning

confidence: 99%

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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

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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.

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Find my trustworthy fogs: A fuzzy-based trust evaluation framework

Cited by 54 publications

References 31 publications

Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure

Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure

A Survey on Trustworthiness for the Internet of Things

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

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