Enhancing Security of Mobile Cloud Computing by Trust- and Role-Based Access Control

Abdul, Arif Mohammad; Mohammad, Arshad Ahmad Khan; Reddy, P. Venkat; Nuthakki, Praveena; Kancharla, Rakesh; Joshi, Rahul; Raja, N.

doi:10.1155/2022/9995023

Cited by 9 publications

(6 citation statements)

References 26 publications

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“…Se-Ra Oh et al [12] introduced an interoperable access control framework that is based on OAuth 2.0 and roles, enabling client-specific domains in heterogeneous IoT platforms to utilize the IAT for access and permitting authenticating roles to enter the proposed framework and subsequently access valuable resources in the domains. Abdul et al [13] designed an access control mechanism based on RBAC and calculated the trust level based on the user's uncertain behaviour. This mechanism mitigates malicious operations caused by authenticated users.…”

Section: Related Workmentioning

confidence: 99%

Attribute and User Trust Score-Based Zero Trust Access Control Model in IoV

Wang,

Song

et al. 2023

Electronics

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The Internet of Vehicles (IoV) is an innovative area of interest in modern mobility that is rapidly evolving while facing complex challenges. Traditional IoV networks are susceptible to intrusion threats, which can lead to data leakage and seizure of vehicle control by attackers, thereby endangering vehicle users’ privacy and personal safety. An Attribute and User Trust Score-based Zero Trust Access Control Model (AU-ZTAC) is proposed, combining the zero-trust and attribute-based access control models to meet network protection requirements while achieving fine-grained dynamic access control and incorporating trust evaluation in the access control process to better reflect users’ intent. Experimental results demonstrate the effectiveness and feasibility of trust assessment through the proposed model. A comparison with the classical schemes illustrates that AU-ZTAC allows for more flexible and fine-grained access control in complex access control environments while improving IoV security.

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Section: Related Workmentioning

confidence: 99%

Attribute and User Trust Score-Based Zero Trust Access Control Model in IoV

Wang,

Song

et al. 2023

Electronics

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Section: Introductionmentioning

confidence: 99%

Enhancing Data Security in Multi-Cloud Environments: A Product Cipher-Based Distributed Steganography Approach

Hashmi,

Mohammad,

Abdul

et al. 2024

IJSSE

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In multi-cloud computing, securing sensitive data remains a paramount challenge. This paper presents a novel steganographic methodology, Product Cipher-Based Distributed Steganography (PCDS), designed to securely hide data within a multi-cloud environment. This approach, addressing the intricacies of decentralized data concealment, utilizes unaltered cover media as benchmarks for fragmenting and disguising data. The PCDS scheme, by distributing hidden data dynamically across multiple cloud platforms, successfully evades detection through the absence of file modifications or the use of special characters. An in-depth security analysis of this method demonstrates its resilience against unauthorized access; even with complete access to all cloud accounts involved, the extraction of the concealed message remains computationally unfeasible. The utilization of an undisclosed key, alongside a base encoding value and the inherent computational complexity of the scheme, fortifies its defense against brute-force attacks, significantly elevating its security profile compared to existing methods. This paper contributes substantially to the field of cloud security and steganography by offering an undetectable and innovative approach for data hiding. It effectively counters prevailing vulnerabilities in multi-cloud storage and sets a new precedent for advanced secure data concealment strategies. Contrasting with conventional methods susceptible to brute-force attacks requiring substantially fewer computations, the PCDS framework ensures a higher level of security, providing robust protection for confidential data in cloud environments.

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“…The selection of an appropriate carrier medium is paramount in steganography. The ubiquity, transparency, and accessibility of cloud computing position it as an optimal candidate for this role [ 5]. Cloud computing, a cornerstone of distributed computing, provides access to versatile computational resources, boasting advantages such as cost-efficiency, enhanced data accessibility, and accelerated computational speeds [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…In our example, the length of array 𝑂[𝑁] is 20 from 16 length of key 𝐾 = 5 . Column length is computed by substituting the values of array length, and key length in equation(5), and obtained depth of the column is 4.Insert the first four files of the array 𝑂[𝑁] into the column of the key labeled 1, next four files of the array 𝑂[𝑁] are inserted into the column of the key labeled 2, and so on, as shown in the table. 8.…”

mentioning

confidence: 99%

Data Hiding in the Multi-Cloud Environment by Product Cipher-Based Distributed Steganography

Hashmi,

Mohammad,

Abdul

et al. 2023

Preprint

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The paper presents a highly effective steganography scheme designed to protect hidden data in the cloud. The proposed scheme addresses the challenges of concealing data in a decentralized manner while minimizing traces left behind by changing cover media. Two significant technical contributions are introduced: 1) The use of unchanged cover media as a reference for fragmented data, and 2) Leveraging multi-cloud storage to securely store the hidden message. Recent research highlights the vulnerability of retrieving secret data from multi-cloud storage, underscoring the need for a robust solution. To overcome this, a product cipher-based distributed steganography scheme is proposed, ensuring dynamic data hiding across multiple cloud platforms in a distributed manner. Unlike related steganographic work, the scheme does not rely on file modifications or the use of special characters for concealment, making it an undetectable secret distribution system. By avoiding suspicious file content, the scheme does not draw attention from potential adversaries during an inspection. The security analysis of the proposed mechanism confirms its resilience against attacks, as even with full access to all cloud accounts, an attacker cannot compute the hidden message. The scheme's security is guaranteed by the unknown key, the base encoding value, and the computational complexity required for the opponent to determine the appropriate sequence of secret distribution and file numbering. In contrast to the current approach, which is susceptible to brute-force attacks with computations substantially smaller than B!*K!*n!, the PCDS scheme provides significantly stronger security guarantees.

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Enhancing Security of Mobile Cloud Computing by Trust- and Role-Based Access Control

Cited by 9 publications

References 26 publications

Attribute and User Trust Score-Based Zero Trust Access Control Model in IoV

Attribute and User Trust Score-Based Zero Trust Access Control Model in IoV

Enhancing Data Security in Multi-Cloud Environments: A Product Cipher-Based Distributed Steganography Approach

Data Hiding in the Multi-Cloud Environment by Product Cipher-Based Distributed Steganography

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