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An efficient secure cryptosystem using improved identity based encryption with multimodal biometric authentication and authorization in cloud environments.

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Názov: An efficient secure cryptosystem using improved identity based encryption with multimodal biometric authentication and authorization in cloud environments.
Autori: Jasmine, R. Megiba, Jasper, J., Geetha, M. R.
Zdroj: Wireless Networks (10220038); Jan2025, Vol. 31 Issue 1, p545-565, 21p
Predmety: IMAGE processing software, BIOMETRIC identification, CLOUD computing security measures, CLOUD storage, ARTIFICIAL intelligence, MULTIMODAL user interfaces
Abstrakt: Today, cloud computing has received greater attention for storing and processing huge amounts of data over the internet. Security concerns are one of the most challenging issues that have affected the growth of cloud computing services. Data storage in the cloud is unsecured using a password system that can be easily stolen by intruders. Hence, there is a need to achieve cloud data security using multimodal biometric cryptosystem-based authentication and encryption systems and to mitigate the risk of attackers, especially in the case of accessing the data from unauthorized users. In this paper, we propose a Secure Multimodal Cloud Authentication and Authorization Scheme (SMCAAS) framework that brings additional security to both encryption and authentication for user biometric identification against different attacks in the cloud environment. In the SMCAAS framework, we presented an improved encryption system using the Biometric Identity Based Encryption Method (BIBE) to facilitate the exchange of the trapdoor between the user's Biometric Identity Record (BIR) and the cloud server with additional security measures in cloud computing environments. Then a trusted cryptographic hash function uses the Secure Hash Algorithm-512 (SHA-512) to authenticate the biometric user who intends to access the system. Based on the derived two steps, the Multimodal Biometric Authentication Module (MBAM) module performs multimodal biometric features to provide additional security and is designed to verify the user's biometric identity in a cloud environment. Informal security analysis proves that the SMCAAS approach is secure against different attacks. Numerical results demonstrate that the SMCAAS approach obtains high security in terms of error rate (ERR) and biometric quality metrics, and also that the performance measures of the encryption and decryption time for the message file achieve less average time than other methods. [ABSTRACT FROM AUTHOR]
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Abstrakt:Today, cloud computing has received greater attention for storing and processing huge amounts of data over the internet. Security concerns are one of the most challenging issues that have affected the growth of cloud computing services. Data storage in the cloud is unsecured using a password system that can be easily stolen by intruders. Hence, there is a need to achieve cloud data security using multimodal biometric cryptosystem-based authentication and encryption systems and to mitigate the risk of attackers, especially in the case of accessing the data from unauthorized users. In this paper, we propose a Secure Multimodal Cloud Authentication and Authorization Scheme (SMCAAS) framework that brings additional security to both encryption and authentication for user biometric identification against different attacks in the cloud environment. In the SMCAAS framework, we presented an improved encryption system using the Biometric Identity Based Encryption Method (BIBE) to facilitate the exchange of the trapdoor between the user's Biometric Identity Record (BIR) and the cloud server with additional security measures in cloud computing environments. Then a trusted cryptographic hash function uses the Secure Hash Algorithm-512 (SHA-512) to authenticate the biometric user who intends to access the system. Based on the derived two steps, the Multimodal Biometric Authentication Module (MBAM) module performs multimodal biometric features to provide additional security and is designed to verify the user's biometric identity in a cloud environment. Informal security analysis proves that the SMCAAS approach is secure against different attacks. Numerical results demonstrate that the SMCAAS approach obtains high security in terms of error rate (ERR) and biometric quality metrics, and also that the performance measures of the encryption and decryption time for the message file achieve less average time than other methods. [ABSTRACT FROM AUTHOR]
ISSN:10220038
DOI:10.1007/s11276-024-03780-8