Attribute-Based Encryption Scheme for Secure Multi-Group Data Sharing in Cloud

Islam, Md. Azharul; Madria, Sanjay

doi:10.1109/tsc.2020.3038836

Cited by 21 publications

(23 citation statements)

References 31 publications

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“…Table 3 and Figure 7 represents the performance comparison of data confidentiality rate versus the number of user data ranging from 10,000 to 100,000 using the proposed ADRES technique and two existing methods. 1,2 As shown in the graph, user data was taken on the horizontal axis, and performance results of the data confidentiality rate were achieved on the vertical axis. Among three different methods, the proposed ADRES technique increases the performance of the data confidentiality rate when compared to existing methods.…”

Section: Analysis Of Data Confidentiality Ratementioning

confidence: 99%

“…Experimental assessment of proposed ADRES and two existing methods are implemented using Java language with CloudSim simulator. Two existing methods are namely, ReVO‐ABE 1 and MA‐CPABE‐ECC 2 . For the experimental consideration, the CIDDS (Coburg Intrusion Detection Data Sets)‐001 dataset was taken from https://github.com/markusring/CIDDS designed to secure data transmission on the cloud server.…”

Section: Experimental Analysismentioning

confidence: 99%

“…1,2 was f 85 and 95 MB respectively. The average of 10 comparison results indicates that space TA B L E 6 Space complexity versus number of data.…”

mentioning

confidence: 93%

“…A ReVO‐ABE method was developed in reference 1 to secretly share the data with collusion‐resistant. A new key binding method was introduced to avoid collusion attacks as well as obtain revocation.…”

Section: Introductionmentioning

confidence: 99%

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Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

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SummaryCloud computing is distributed type of technology to offers distant services by the internet to manage, access, and store data on their server. The cloud server manages and distributes large amounts of data. During large amounts of complex structured and unstructured data transactions, in order to protect the data and cloud resources from harmful activities by using the main task of the security system. Therefore, a novel intrusion detection system is required in cloud networks to detect malicious activity and improve secure data transmission. In this paper, a novel technique called advanced set containment deep learned Rabin certificateless signcryption (ADRES) technique is employed to secure data transmission for achieving better confidentiality, and integrity, in cloud computing. The ADRES technique includes three major phases namely Registration and key generation, signcryption, and unsigncryption. At the first phase, the user registers details to the cloud server using secure transmission in big data analytics. The cloud server generates the private and public keys for each registered user. In the second phase, the signcryption process is determined by cloud user that encrypts and generates the signature by using the Rabin cryptosystem. Then encrypted data is stored in a cloud server with minimum space complexity. Finally, the unsigncryption is performed by using signature verification and decryption. First, the signature verification is performed by applying an Advanced set containment Deep belief neural network for identifying the authorized or unauthorized user (i.e., attacker). The authorized user decrypts data using the Rabin cryptosystem to achieve the original data. Thus, secure data transmission is obtained through improved data confidentiality and integrity. Simulation of the proposed ADRES technique is performed with respect to data confidentiality level, data integrity rate, and computation time, space complexity with several numbers of data. Experimental results reported ADRES obtains the improved data transmission security with better confidentiality rate by 7%, integrity by 7%, and lesser time 16% and space complexity by 18% than the conventional methods.

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Section: Analysis Of Data Confidentiality Ratementioning

confidence: 99%

Section: Experimental Analysismentioning

confidence: 99%

“…1,2 was f 85 and 95 MB respectively. The average of 10 comparison results indicates that space TA B L E 6 Space complexity versus number of data.…”

mentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

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“…In 2017, Wang et al [16] constructed a directly revocable CP-ABE in the composite order group. In 2020, Islam et al [17] proposed a directly revocable collusion-resistant ABE scheme which can provide any effective solution for secure multigroup data sharing scenarios on the cloud. In indirect revocation, each user has a long-term secret key.…”

Section: Related Workmentioning

confidence: 99%

Lattice‐based revocable attribute‐based encryption with decryption key exposure resistance

Dong

Wang

et al. 2021

IET Information Security

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Attribute-based encryption (ABE) is a promising management method that enables finegrained access control in large-scale systems. Revocable ABE (RABE) can support a key revocation mechanism in an ABE system. With the advent of the Internet of Things, users may need to delegate their decryption capacity to other devices, which requires that RABE meet a necessary feature called decryption key exposure resistance (DKER). Although many constructions about RABE from bilinear maps have been proposed, the situation of lattice-based constructions with DKER is less satisfactory. In order to narrow this gap, this paper propose the first lattice-based RABE with DKER. First, a formal description of RABE with DKER and the corresponding security models is proposed. Subsequently, a lattice-based RABE scheme without DKER is constructed and it is proved to be selective indistinguishability under chosen-plaintext attack (IND-CPA) security based on Learning with Errors (LWE). To achieve DKER, this paper construct a RABE scheme by using the RABE scheme without DKER and a key extension mechanism as its building blocks. Finally, this paper show that this scheme is selective IND-CPA security, with the DKER based on LWE.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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A secure multi‐authority attribute based encryption approach for robust smart grids

Saidi,

Amira,

Nouali

2023

Concurrency and Computation

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This paper presents EMBASS, an Enhanced Multi‐Authority Attribute‐Based Encryption System for Smart Grids. EMBASS supports outsourced decryption to devices with limited resources. It also uses a proxy to add fake values to the access policy in order to protect against malicious users. Additionally, a proxy user assistant is utilized to create an intermediate key for each fog node in the decryption process, and a chain decryption technique is used to further delegate the decryption process. The security properties and performance of the proposed system are analyzed, discussed and compared to state of the art approaches. EMBASS has been discussed for usage with smart grids, and experimentation shows that it yields promising results compared to state‐of‐the‐art approaches.

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Attribute-Based Encryption Scheme for Secure Multi-Group Data Sharing in Cloud

Cited by 21 publications

References 31 publications

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Lattice‐based revocable attribute‐based encryption with decryption key exposure resistance

A secure multi‐authority attribute based encryption approach for robust smart grids

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