文章基本信息

标题：Lightweight Symmetric Encryption Algorithm In Big Data
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作者：Majid Bakhtiari ; Anazida Zainal ; Saeid Bakhtiari 等
期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2015
卷号：7
期号：3-Special
出版社：International Center for Scientific Research and Studies
摘要：Comprehensive coverage of network has enabled many applications to be online. Growth in technology has produced IoT where almost every gadget is Internet enabled and this has produced massive data. Many data analytics tools and techniques have been developed to mine the data and get meaningful information out of it. With this sophisticated tools, there is a possibility that data are leaked, learned, tampered and shared beyond anticipation of data owner. Therefore, security and privacy issue is critical to big data. Due to its extraordinary scale, traditional encryption algorithms cannot be used to provide privacy protection in big data environment. Big data requires efficient encryption and decryption algorithms, encrypted information retrieval, attribute based encryption to provide data confidentiality and integrity. The focus of this paper is on data encryption to protect user privacy in big data environment. We proposed a symmetric lightweight encryption algorithm for faster encryption and decryption. The algorithm can support encryption for multitude of data in huge shared environment like cloud by providing efficient and fast encryption/decryption processes
关键词：Symmetric Encryption; Lightweight; Big data; Efficient; security; ; Fast Encryption