TRUST-CAP: A Trust Model for Cloud-Based Applications

AbdAllah, Eslam G.; Zulkernine, Mohammad; Gu, Yuan; Liem, Clifford

doi:10.1109/compsac.2017.256

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…Mrabet et al [44] put forward a new trust evaluation model named T-broker. AbdAllah et al [45] designed TRUST-CAP, a trust-based cloud application protocol. Singh et al [46] introduced a collaborative trust calculation scheme based on fuzzy logic.…”

Section: Recent Research Resultsmentioning

confidence: 99%

Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

Wu²,

Cao

et al. 2021

J Cloud Comp

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Through virtualization and resource integration, cloud computing has expanded its service area and offers a better user experience than the traditional platforms, along with its business operation model bringing huge economic and social benefits. However, a large amount of evidence shows that cloud computing is facing with serious security and trust crisis, and building a trust-enabled transaction environment has become its key factor. The traditional cloud trust model usually adopts a centralized architecture, which causes large management overhead, network congestion and even single point of failure. Furthermore, due to a lack of transparency and traceability, trust evaluation results cannot be fully recognized by all participants. Blockchain is a new and promising decentralized framework and distributed computing paradigm. Its unique features in operating rules and traceability of records ensure the integrity, undeniability and security of the transaction data. Therefore, blockchain is very suitable for constructing a distributed and decentralized trust architecture. This paper carries out a comprehensive survey on blockchain-based trust approaches in cloud computing systems. Based on a novel cloud-edge trust management framework and a double-blockchain structure based cloud transaction model, it identifies the open challenges and gives directions for future research in this field.

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Section: Recent Research Resultsmentioning

confidence: 99%

Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

Wu²,

Cao

et al. 2021

J Cloud Comp

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“…Abdallah et al [25] have presented an Infrastructure as a Service (IaaS) based Cloud trust model(TRUST-CAP). In their model, they highlighted the trust properties that should exist in a trust model.…”

Section: Related Workmentioning

confidence: 99%

Context-Aware Trust and Reputation Model for Fog-Based IoT

et al. 2020

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Trust and reputation are important terms whether the communication is Humans-to-Human (H2H), Human-Machine-Interaction (HMI) or Machine-to-Machine (M2M). As Cloud computing and the internet of things (IoT) bring new innovations, they also cause various security and privacy issues. As numerous devices are continuously integrating as a core part of IoT, it is necessarily important to consider various security issues such as the trustworthiness of a user or detection of a malicious user. Moreover, fog computing also known as edge computing is revolutionizing the Cloud-based IoT by providing the Cloud services at the edge of the network, which can provide aid in overcoming security, privacy and trust issues. In this work, we propose a context-aware trust evaluation model to evaluate the trustworthiness of a user in a Fog based IoT (FIoT). The proposed approach uses a context-aware multi-source trust and reputation based evaluation system which helps in evaluating the trustworthiness of a user effectively. Further, we use context-aware feedback and feedback crawler system which helps in making trust evaluation unbiased, effective and reliable. Furthermore, we introduce monitor mode for malicious/untrustworthy users, which helps in monitoring the behavior and trustworthiness of a user. The proposed approach uses several tunable factors, which can be tuned based on the system's requirements. The simulations and results indicate that our approach is effective and reliable to evaluate the trustworthiness of a user.

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“…Ahmadi and Allan [34] proposed a trust-based decision making model for multi-agent societies. Sule and Li [35] and AbdAllah et al [36] presented the mechanisms of trust evaluation methods for the cloud-based applications. Wang et al [37] introduced a trust-based probabilistic recommendation model for social networks.…”

Section: B Trust Management Strategiesmentioning

confidence: 99%

A Trust-Based Agent Learning Model for Service Composition in Mobile Cloud Computing Environments

Cao

et al. 2019

IEEE Access

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Mobile cloud computing has the features of resource constraints, openness, and uncertainty which leads to the high uncertainty on its quality of service (QoS) provision and serious security risks. Therefore, when faced with complex service requirements, an efficient and reliable service composition approach is extremely important. In addition, preference learning is also a key factor to improve user experiences. In order to address them, this paper introduces a three-layered trust-enabled service composition model for the mobile cloud computing systems. Based on the fuzzy comprehensive evaluation method, we design a novel and integrated trust management model. Service brokers are equipped with a learning module enabling them to better analyze customers' service preferences, especially in cases when the details of a service request are not totally disclosed. Because traditional methods cannot totally reflect the autonomous collaboration between the mobile cloud entities, a prototype system based on the multi-agent platform JADE is implemented to evaluate the efficiency of the proposed strategies. The experimental results show that our approach improves the transaction success rate and user satisfaction. INDEX TERMS Mobile cloud computing, service composition, trust management, user preference learning, multi-agent technology.

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TRUST-CAP: A Trust Model for Cloud-Based Applications

Cited by 16 publications

References 4 publications

Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

Context-Aware Trust and Reputation Model for Fog-Based IoT

A Trust-Based Agent Learning Model for Service Composition in Mobile Cloud Computing Environments

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