Improving cloud data security through hybrid verification technique based on biometrics and encryption system

Hossain, Md. Alamgir; Hasan, Md. Abdullah Al

doi:10.1080/1206212x.2020.1809177

Cited by 17 publications

(8 citation statements)

References 8 publications

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“…➢ The static authentication provided for the long term in conventional works was vulnerable to password-guessing attacks by the attacker (Shyla & Sujatha, 2022). ➢ In existing works, the data was secured with a One Time Password (OTP) based cryptography model, which can be retrieved by attackers through shoulder surfing attacks (Hossain & Al Hasan, 2022). ➢ The user data was authenticated in existing work using the hashing technique grounded on the known parameters of the network.…”

Section: Problem Statementmentioning

confidence: 99%

OSI Network Layers Based Secured Data Sharins in Cloud Computing Using STXORSK-QC and Dhdecct-MAC

TIWARI,

JHA

2024

Preprint

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Cloud computing, which acts as a service tool to internet users, has numerous data sources. The data from users should be stored and shared securely. Data security regarding Open System Interconnection (OSI) network layers was not concentrated by any of the existing works. Hence, a secured data sharing in the OSI model is proposed in this paper. Primarily, the data owner registers in the Application Layer and logs in to access the cloud. Then, with the help of preprocessing, optimal feature selection using the Bernoulli Distribution Lyrebird Optimization Algorithm (BD-LOA), and classification using Beltrami-coefficient Rectified Linear Unit-Long Short Term Memory (BR-LSTM), the Uniform Resource Locator (URL) link is verified in the Presentation Layer. Now, the data is uploaded to the cloud via the legitimate site. Here, using Security Token XOR Session Key Quantum Cryptography (STXORSK-QC), the data is secured in the Authorization Layer. Then, in the Network Layer, the IP address of the user is spoofed by the Knuth shuffle technique. Now, the data is uploaded to the Physical Layer using 2’s Complement Grøstl Hashing Algorithm (2CGHA) after balancing the loads of multiple requests using BD-LOA in the Transport Layer. In the meantime, by using the Diffie Hellman Digit Folding Caesar Cipher Text-Message Authentication Code (DHDFCCT-MAC) algorithm, the user verification is done. The data to be downloaded in the Data Link Layer is checked by the verified user. The user downloads the data if it is not attacked. Therefore, the proposed system uploaded the data with a 98.03% security level and classified the data attack with 99.15% accuracy, thus showing superior performance than the existing works.

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Section: Problem Statementmentioning

confidence: 99%

OSI Network Layers Based Secured Data Sharins in Cloud Computing Using STXORSK-QC and Dhdecct-MAC

TIWARI,

JHA

2024

Preprint

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“…Hossain et al 29 suggested hybrid verification technique for improving the security of data against the unauthorized users. Here, the biometric verification application has been considered for testing the effectiveness of this security framework.…”

Section: Related Workmentioning

confidence: 99%

“…From this analysis, it is studied that the access controlling models used for cloud data security must require to satisfy the properties of flexibility, dynamicity, compatibility, descriptive ability, and privilege. Hossain et al 29 suggested hybrid verification technique for improving the security of data against the unauthorized users. Here, the biometric verification application has been considered for testing the effectiveness of this security framework.…”

Section: Related Workmentioning

confidence: 99%

An efficient and secure data sharing scheme for cloud data using hash based quadraplet wavelet permuted cryptography approach

Selvam

Manimozhi

Ramachandran

2022

Concurrency and Computation

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Ensuring the reliable and secure data transmission in cloud systems is very essential and demanding task in the recent decades. For that purpose, various security frameworks have been deployed in the existing works, which are mainly focusing the improving the privacy and confidentiality of cloud data against the unauthenticated users. Yet, it facing the major problems of inefficient accessing, increased time consumption, computational complexity, storage complexity, and memory utilization rate.Hence, this research work intends to develop an advanced and efficient cryptography model, named as, hash based quadraplet wavelet permuted cryptography (HQWPC) for the secured cloud data storage and retrieval operations. Here, the bilinear mapping and group hash function generation processes are performed to generate the keys used for cryptographic operations. Also, the zig-zag scanning, wavelet coefficients extraction, and permutation processes are accomplished for data encryption. Consequently, the inverse of these operations is performed while decrypting the data. In addition to that, an integrated signature control policy authentication mechanism is employed for validating the authenticity of the cloud data users. This kind of signature verification process could efficiently increase the security level of cloud data. For validating the performance of the proposed security framework, various evaluation metrics have been utilized during analysis. Then, the obtained results are compared with the recent state-of-the-art models for proving the efficiency of the proposed technique over the other techniques.

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“…But, data security is a crucial issue, because of the severe susceptibility and hitch in cloud storage [9,10]. In conventional approaches, encrypting data before transmitting and saving it as ciphertext in the cloud is an extensively applied approach for performing data privacy protection [11,12,13]. Conventional cryptographic cloud storage needs the management of a huge amount of keys.…”

Section: Introductionmentioning

confidence: 99%

Effective Quantum Key Distribution Using Modified Key Sifting Scheme for Cloud Storage Security

2023

IJIES

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Cloud storage has gained extensive attention due to its low cost, global scalability, and improved agility. Data privacy is an important issue in cloud storage because breaches of personal information or business secrets are occurred by malicious hackers or unauthorized cloud operators. To address this issue, a Modified Key Sifting Scheme (MKSS) is proposed for developing an effective Quantum Key Distribution (QKD) with Two-Way Identity Authentication (TWIA) to provide security in the cloud storage. The Tree Parity Machine (TPM) is used for proposing a MKSS which used to minimize the key distribution time based on the synchronization. This MKSS-QKDTWIA considers four different objects such as data user, data owner, server and data storage in a communication scenario. The performance of the MKSS-QKDTWIA is analyzed by means of key computation time, processing time, encryption & decryption time, and memory utilization. Existing research such as Modified Random Fibonacci Cryptographic (MRFC), Software Stack-QKD (SS-QKD) and Enhanced Cloud Security Model based on QKD Protocol (ECSM-QKDP) are used to evaluate the performance of MKSS-QKDTWIA. The key computation time of MKSS-QKDTWIA for 50 attribute sets in each key is 16.7s which is less when compared to the MRFC, SS-QKD and ECSM-QKDP.

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Improving cloud data security through hybrid verification technique based on biometrics and encryption system

Cited by 17 publications

References 8 publications

OSI Network Layers Based Secured Data Sharins in Cloud Computing Using STXORSK-QC and Dhdecct-MAC

OSI Network Layers Based Secured Data Sharins in Cloud Computing Using STXORSK-QC and Dhdecct-MAC

An efficient and secure data sharing scheme for cloud data using hash based quadraplet wavelet permuted cryptography approach

Effective Quantum Key Distribution Using Modified Key Sifting Scheme for Cloud Storage Security

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