A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion

Yuan, Jie; Li, Xiaoyong

doi:10.1109/access.2018.2831898

Cited by 148 publications

(117 citation statements)

References 44 publications

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“…Generally speaking, the purpose of network security is to provide a trust protection mechanism [11], which can prevent the protected subject from being attacked and illegally accessed by malicious subjects. The introduction of trust mechanism can better ensure the security and collaboration of Internet application systems [12,13]. Data storage and computing tasks in edge computing mostly depend on edge nodes, many of which are exposed to the natural environment.…”

Section: Motivationmentioning

confidence: 99%

“…Yuan et al [12] proposed a reliable and lightweight trust mechanism for IoT edge devices based on multi-source feedback information fusion. It mainly constructs the trust model for the Internet of Things environment.…”

Section: Relevant Workmentioning

confidence: 99%

“…To make the experiment closer to the real edge computing environment, two identity-based devices were deployed in the simulator, namely edge devices and edge servers. In the simulation, the entities in the simulator have similar settings [12]. Each entity plays two roles in the system, that is, as a service provider and a feedback evaluator.…”

mentioning

confidence: 99%

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An Efficient and Credible Multi-Source Trust Fusion Mechanism Based on Time Decay for Edge Computing

Kong

Hou

et al. 2020

Electronics

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With the development of 5G, user terminal computing moves up and cloud computing sinks, thus forming a computing fusion at the edge. Edge computing with high-efficiency, real-time, and fast features will become part of 5G construction. Utilizing distributed computing and storage resources at the edge of the network to perform distributed data processing tasks can alleviate the load on the cloud computing center, which is also the development trend of edge computing. When a malicious node exists, the error information feedback by the node will affect the result of local perception decision. To solve the problem of malicious behavior of the node, a node trust evaluation mechanism of interactive behavior is introduced. The trust mechanism for edge computing network environments is introduced as a novel security solution. First, the key thought of the trust mechanism proposed in this paper is to establish a trust relationship between edge nodes in open edge computing environment. Then, a multi-source trust fusion algorithm based on time decay aggregates direct interaction trust and different third-party recommendation trust to calculate the global trust of the evaluated nodes. Finally, simulation experiments show that the algorithm has a certain degree of improvement in computational efficiency and interaction success rate over other existing models, which reduces the situation of malicious node deception.

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Section: Motivationmentioning

confidence: 99%

Section: Relevant Workmentioning

confidence: 99%

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An Efficient and Credible Multi-Source Trust Fusion Mechanism Based on Time Decay for Edge Computing

Kong

Hou

et al. 2020

Electronics

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“…Yuan et al [43] suggested a dependable and lightweight reliance system for IoT edge devices dependent on multi-source criticism data combination. To start with, due to the multi-source input system was utilized for worldwide trust estimation our trust computation component is progressively dependable against sassing assaults brought about by vindictive criticism suppliers.…”

Section: Attack Categorization According To Iot Architecturementioning

confidence: 99%

Secured Authentication Systems for Internet of Things

Gowtham¹,

Banga²,

Patil³

2018

EAI Endorsed Transactions on Smart Cities

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INTRODUCTION: In these days, an enormous extent of contraptions are interconnected with the remote advances which gave the principal light to the front line development of Internet of Things (IoT). Different quick contraptions and machines are by and by watched and controlled using IoT conventions. The developments of IoT are by and by spread to the entire sphere by which there is superb system in the devices related using IoT. From the assessment reports of Statista.com, The closeout of splendid home contraptions raised from 1.2 billion dollars to 4.4 billion dollars from year 2015 to year 2019 in the United States. As indicated by the report from Economics Times, there will connect with more than 2 billion units of ESIM based contraptions by year 2024. With the use of ESIM, the endorsers can use the progressed SIM card for the astute contraptions and the organizations can be activated without need of the physical SIM card. It is one of the progressing and confirmed employments of Internet of Things (IoT). OBJECTIVES: The presented research manuscript is presenting an outline of the present state of IoT security. METHODS: Past the standard applications, IoT is under research for the earth watching and prior notification to the coordinating workplaces so the fitting moves can be made. As per the news report by Grand View Research Inc., the overall IoT marketplace size is shown to contact more than 5,000 million dollars by year 2025. The presented IoT suggests the radio advancement standard with LPWAN so the enormous consideration of sharp devices should be conceivable with more significant level of execution in the system. RESULTS: The key positive of the paper integrates the evaluation of Internet of Things with the assorted dimensions in addition to the cavernous analytics with the implementation aspects towards the security mechanism. The paper is having the focus and goals towards the association of security aware mechanism for the cumulative performance of IoT based environment. CONCLUSION: With the gigantic utilization of IoT, there is have to incorporate the higher level of security and honesty for the protection mindful system condition.

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“…It has already become popular in industry, as well as academic research communities. It empowers many future technologies (for example, 5G, vehicle-to-vehicle and vehicle-to-cloud communications, augmented reality) by putting the connection in between end users and the cloud computing model and services [8][9][10]. Edge computing brings the utilities and services of cloud computing, which results in the faster processing and quicker response time of applications.…”

Section: Introductionmentioning

confidence: 99%

LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment

Wazid

Das

Shetty

et al. 2019

Sensors

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In recent years, edge computing has emerged as a new concept in the computing paradigm that empowers several future technologies, such as 5G, vehicle-to-vehicle communications, and the Internet of Things (IoT), by providing cloud computing facilities, as well as services to the end users. However, open communication among the entities in an edge based IoT environment makes it vulnerable to various potential attacks that are executed by an adversary. Device authentication is one of the prominent techniques in security that permits an IoT device to authenticate mutually with a cloud server with the help of an edge node. If authentication is successful, they establish a session key between them for secure communication. To achieve this goal, a novel device authentication and key management mechanism for the edge based IoT environment, called the lightweight authentication and key management scheme for the edge based IoT environment (LDAKM-EIoT), was designed. The detailed security analysis and formal security verification conducted by the widely used “Automated Validation of Internet Security Protocols and Applications (AVISPA)” tool prove that the proposed LDAKM-EIoT is secure against several attack vectors that exist in the infrastructure of the edge based IoT environment. The elaborated comparative analysis of the proposed LDAKM-EIoT and different closely related schemes provides evidence that LDAKM-EIoT is more secure with less communication and computation costs. Finally, the network performance parameters are calculated and analyzed using the NS2 simulation to demonstrate the practical facets of the proposed LDAKM-EIoT.

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A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion

Cited by 148 publications

References 44 publications

An Efficient and Credible Multi-Source Trust Fusion Mechanism Based on Time Decay for Edge Computing

An Efficient and Credible Multi-Source Trust Fusion Mechanism Based on Time Decay for Edge Computing

Secured Authentication Systems for Internet of Things

LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment

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