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SFEEC: Provably Secure Signcryption-Based Big Data Security Framework for Energy-Efficient Computing Environment
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DOI：10.1109/JSYST.2020.2978015.png)
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Abstract
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Digital networks connect an increasing number of users, sensors, and devices, which communicate, access, share, and analyze data. This phenomenon of diverse data generation is recognized as Big data. While people are benefiting from the convenience added by Big data, they also meet direct threats to privacy and data security. As Big data is massive, it needs an effective security framework with energy-efficient computing environment. Signcryption technique combines both encryption and signature to present an efficient solution. To address threats to data security, chosen cipher security and chosen message security are two important attributes. This means that it is very important to design an efficient framework where we can address these issues. This article introduces an identity-based signcryption technique by combining encryption as well as signature, which provides a solution for secure and authenticated communication in the Big data environment, called SFEEC (security framework for energy-efficient computing). SFEEC fulfills the requirements of less computation and communication overheads by offering pairing-free computation at the user end. SFEEC is also proven under the indistinguishable against chosen ciphertext and secure against chosen message attacks in the standard model.
Keywords:
Big Data
Encryption
Computational modeling
Data models
Ciphers
Big data
data integrity
efficient computing
security
signcryption
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