Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles

Tian, Zhihong; Gao, Xiangsong; Su, Shen; Qiu, Jing

doi:10.1109/jiot.2019.2951620

Cited by 128 publications

(46 citation statements)

References 35 publications

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“…Several attempts have been made to detect unfair ratings and malicious nodes; however, these models require large amounts of information or prior knowledge for precise evaluation [42]- [44]. The authors in [45] proposed a reputation framework for identifying denial of traffic service to establish trust in VANETs ProTrust shares a similar concept to Moyano et al [46] in evaluating trust based on the priority of the task. The authors evaluate the trust between entities in the system by the task order.…”

Section: Related Workmentioning

confidence: 99%

ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing

et al. 2020

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With the exponential growth of large data produced by IoT applications and the need for lowcost computational resources, new paradigms such as volunteer cloud computing (VCC) have recently been introduced. In VCC, volunteers do not disclose resource information before joining the system. This leads to uncertainties about the level of trust in the system. The majority of available trust models are suitable for peer-to-peer (P2P) systems, which rely on direct and indirect interaction, and might cause memory consumption overhead concerns in large systems. To address this problem, this paper introduces ProTrust, a probabilistic framework that defines the trust of a host in VCC. We expand the concept of trust in VCC and develop two new metrics: (1) trustworthiness based on the priority of a task, named loyalty, and (2) trustworthiness affected by behavioral change. We first utilized a modified Beta distribution function, and the behavior of resources are classified into different loyalty levels. Then, we present a behavior detection method to reflect recent changes in behavior. We evaluated ProTrust experimentally with a real workload trace and observed that the framework's estimation of the trust score improved by approximately 15% and its memory consumption decreased by more than 65% compared to existing methods.

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Section: Related Workmentioning

confidence: 99%

ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing

et al. 2020

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“…The impact of IoT is worldwide [23,24]. Refactoring can improve the quality of software, but in the meantime incurs security risks [25,26]. Some researchers have paid attention to the security of IoT software [27,28].…”

Section: Related Workmentioning

confidence: 99%

An Automated Refactoring Approach to Improve IoT Software Quality

Zhang

Shao

et al. 2020

Applied Sciences

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Internet of Things (IoT) software should provide good support for IoT devices as IoT devices are growing in quantity and complexity. Communication between IoT devices is largely realized in a concurrent way. How to ensure the correctness of concurrent access becomes a big challenge to IoT software development. This paper proposes a general refactoring framework for fine-grained read–write locking and implements an automatic refactoring tool to help developers convert built-in monitors into fine-grained ReentrantReadWriteLocks. Several program analysis techniques, such as visitor pattern analysis, alias analysis, and side-effect analysis, are used to assist with refactoring. Our tool is tested by several real-world applications including HSQLDB, Cassandra, JGroups, Freedomotic, and MINA. A total of 1072 built-in monitors are refactored into ReentrantReadWriteLocks. The experiments revealed that our tool can help developers with refactoring for ReentrantReadWriteLocks and save their time and energy.

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“…IoT brings huge innovation space and business value to many application fields, such as environmental monitoring, smart homes, smart cities, and so on. [2][3][4][5][6]. As the Internet of things technology is used more and more widely, security issues have also started to attract widespread attention.…”

Section: Introductionmentioning

confidence: 99%

IRBA: An Identity-Based Cross-Domain Authentication Scheme for the Internet of Things

Jia

et al. 2020

Electronics

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The incredible development of Internet of things technology promotes the integration of application systems, which enable people to enjoy the convenience of multiple application services through a single intelligent device or terminal. In order to implement value exchange and information sharing between different applications, cross-domain access is inevitable. In order to prevent illegal access, identity authentication is necessary before the terminal accesses the service. Because of the need to introduce a trusted third party, the traditional centralized authentication model not only destroys the autonomy and flexibility of the application system, but also causes issues such as single point of failure and hidden dangers of unilateral control. This paper proposes an identity-based cross-domain authentication scheme for the Internet of Things. This scheme uses the Blockchain as a decentralized trust anchor instead of the traditional certificate of authority, and uses the identity-based self-authentication algorithm to replace the traditional PKI authentication algorithm. The scheme proposed in this paper implements a decentralized authentication model, which can guarantee the autonomy and initiative of the security domain.

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Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles

Cited by 128 publications

References 35 publications

ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing

ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing

An Automated Refactoring Approach to Improve IoT Software Quality

IRBA: An Identity-Based Cross-Domain Authentication Scheme for the Internet of Things

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