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SFEEC: Provably Secure Signcryption-Based Big Data Security Framework for Energy-Efficient Computing Environment

机译:SFEEC:可释放基于安全的签出的遗传计算环境的大数据安全框架

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摘要

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.
机译:数字网络连接越来越多的用户,传感器和设备,该设备传播,访问,共享和分析数据。这种多样化数据生成现象被认为是大数据。虽然人们从大数据增加的方便中受益,但他们也会达到隐私和数据安全的直接威胁。随着大数据庞大,它需要一个有效的安全框架,具有节能计算环境。 Sorncryption技术结合了加密和签名来呈现有效的解决方案。要解决对数据安全性的威胁,所选的密码安全性和所选消息安全性是两个重要属性。这意味着设计一个有效的框架非常重要,我们可以解决这些问题。本文通过组合加密以及签名来介绍基于身份的签名技术,它提供了一个用于在大数据环境中的安全和经过身份验证的通信的解决方案,称为SFEEC(节能计算的安全框架)。 SFEEC通过在用户端提供无配合计算来满足较少计算和通信开销的要求。 SFEEC也被证明在“无法区分的密文”和“安全反对所选消息”中的标准模型中的攻击。

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