Abstract

The source of big data in the contemporary era led to the increased usage of cloud infrastructure. Plenty of Internet based applications are using cloud infrastructure to reap benefits like scalability, availability and fault tolerance. One of the sources of big data is Internet of Things (IoT) use case that exploits sensor networks and plethora of connected devices that are resource constrained. In such typical scenario, there is need for lightweight security schemes to deal with big data storage and dissemination. The traditional cryptography based schemes are not efficient to deal with big data in the aforementioned use case. Therefore, it is indispensable to have an efficient and lightweight scheme that leverages the state of the art in terms of security attributes such as data integrity and confidentiality. In this paper we proposed a security scheme known as Lightweight Hybrid Scheme (LHS) that is based on Diffie-Hellman key exchange and Elliptic Curve Cryptography. The LHS scheme works with any encryption technique and provide support for highly secure key exchange mechanism that results in smaller key sizes. The proposed scheme has optimized method for obtaining modulus of fractional number. LHS is evaluatedwithaprototype application and compared with start of the art algorithms like Diffie-Hellman (DH), Elliptic Curve-Diffie Hellman (ECDH) and RSA. The results revealed that LHS provides improvement in security besides reducing time complexity while dealing with big data operations.

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