Fuzzy Rule-Based Trust Management Model for the Security of Cloud Computing

Soleymani, Mona; Abapour, Navid; Taghizadeh, Elham; Siadat, Safieh; Karkehabadi, Rasoul

doi:10.1155/2021/6629449

Cited by 12 publications

(4 citation statements)

References 35 publications

(51 reference statements)

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“…The performance comparison of GFPO-TS, fuzzy rule-based trust management (FRTM) [12] and reputation attack detector (RAD) [14] techniques have been conducted and the results are presented in this section.…”

Section: Resultsmentioning

confidence: 99%

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Gaussian Flower Pollination Optimization Based Trusted Service Selection for Cloud Computing Environment

2024

IJIES

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As cloud computing is a combination of variety of technologies, there are a number of security concerns need to be addressed. To protect from various attacks and to improve the security of cloud users, it is required to analyze the trust relationships among the cloud resources and tasks. Most of the trust management systems did not consider the significance of interactions, which affects the correctness of trust evaluations. This paper proposes Gaussian flower pollination optimization (GFPO) based trusted service selection (TSS) technique. In this technique, each cloud service provider's reputation values are computed from the trust value of its servers. The individual trust values of cloud servers are determined based on interaction success rate (ISR), service success index (SSI) and service response time (SRT) parameters. The optimal weight values of these parameters are adaptively determined using GFPO algorithm. During the data transfer from server to the user, the user checks the server's trust value and ignores the response if its trust value is low. Experimental results from Cloudsim show that GFPO-TSS minimizes the computation overhead and access delay, maximizes the accuracy and success rate. GFPO-TSS has 45% reduced computation cost, 10% increased data correctness.

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Section: Resultsmentioning

confidence: 99%

“…The customer's trust values are computed such that both there is a balance between customer trust and provider's service. Soleymani et al [12] have developed a trust management method for multicloud systems. The trust values of service providers are computed from the subjective and objective trust metrics.…”

Section: Trust Based Attack Detectionmentioning

confidence: 99%

Gaussian Flower Pollination Optimization Based Trusted Service Selection for Cloud Computing Environment

2024

IJIES

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“…The important problems defined using other individuals' subjective opinions depict various issues in the collective IOT scenario. [34].…”

Section: Trust Management Model Based On Fuzzy Reputation For Iotmentioning

confidence: 99%

Intelligent Trust based Security Framework for Internet of Things

Rana¹,

Singh²,

Vijaya

2022

IJRITCC

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Trust models have recently been proposed for Internet of Things (IoT) applications as a significant system of protection against external threats. This approach to IoT risk management is viable, trustworthy, and secure. At present, the trust security mechanism for immersion applications has not been specified for IoT systems. Several unfamiliar participants or machines share their resources through distributed systems to carry out a job or provide a service. One can have access to tools, network routes, connections, power processing, and storage space. This puts users of the IoT at much greater risk of, for example, anonymity, data leakage, and other safety violations. Trust measurement for new nodes has become crucial for unknown peer threats to be mitigated. Trust must be evaluated in the application sense using acceptable metrics based on the functional properties of nodes. The multifaceted confidence parameterization cannot be clarified explicitly by current stable models. In most current models, loss of confidence is inadequately modeled. Esteem ratings are frequently mis-weighted when previous confidence is taken into account, increasing the impact of harmful recommendations. In this manuscript, a systematic method called Relationship History along with cumulative trust value (Distributed confidence management scheme model) has been proposed to evaluate interactive peers trust worthiness in a specific context. It includes estimating confidence decline, gathering & weighing trust parameters and calculating the cumulative trust value between nodes. Trust standards can rely on practical contextual resources, determining if a service provider is trustworthy or not and does it deliver effective service? The simulation results suggest that the proposed model outperforms other similar models in terms of security, routing and efficiency and further assesses its performance based on derived utility and trust precision, convergence, and longevity.

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“…Due to the rapid expansion of the Internet and its features such as social networks [1], network scales with specific protocols [2], secure cloud memory [3], and smart contracts [4] on the one hand, and the rise in people's privacy concerns on the other, transferring and storing images in a secure manner is a critical point [5,6]. Encrypting images with well-known algorithms like DES or AES may appear to be a solution at first glance, but it does not meet all of the requirements.…”

Section: Introductionmentioning

confidence: 99%

PiouCrypt: Decentralized Lattice-based Method for Visual Symmetric Cryptography

Abapour¹,

Ebadpour²

2022

Preprint

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In recent years, establishing secure visual communications has turned into one of the essential problems for security engineers and researchers. However, only limited novel solutions are provided for image encryption, and limiting the visual cryptography to only limited schemes can bring up negative consequences, especially with emerging quantum computational systems. This paper presents a novel algorithm for establishing secure private visual communication. The proposed method has a layered architecture with several cohesive components, and corresponded with an NP-hard problem, despite its symmetric structure. This two-step technique is not limited to gray-scale pictures, and furthermore, utilizing a lattice structure causes to proposed method has optimal resistance for the post-quantum era, and is relatively secure from the theoretical dimension.

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Fuzzy Rule-Based Trust Management Model for the Security of Cloud Computing

Cited by 12 publications

References 35 publications

Gaussian Flower Pollination Optimization Based Trusted Service Selection for Cloud Computing Environment

Gaussian Flower Pollination Optimization Based Trusted Service Selection for Cloud Computing Environment

Intelligent Trust based Security Framework for Internet of Things

PiouCrypt: Decentralized Lattice-based Method for Visual Symmetric Cryptography

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