A dynamic prime number based efficient security mechanism for big sensing data streams

详细信息    查看全文

• 作者：Deepak Puthal^a ; ^{deepak.puthal@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Surya Nepal^b ; ^{surya.nepal@csiro.au" class="auth_mail" title="E-mail the corresponding author} ; Rajiv Ranjan^b ; ^c ; ^{rranjans@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Jinjun Chen^a ; ^{jinjun.chen@gmail.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Security ; Sensor networks ; Big data stream ; Key exchange ; Security verification
• 刊名：Journal of Computer and System Sciences
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：83
• 期：1
• 页码：22-42
• 全文大小：2221 K

文摘

Big data streaming has become an important paradigm for real-time processing of massive continuous data flows in large scale sensing networks. While dealing with big sensing data streams, a Data Stream Manager (DSM) must always verify the security (i.e. authenticity, integrity, and confidentiality) to ensure end-to-end security and maintain data quality. Existing technologies are not suitable, because real time introduces delay in data stream. In this paper, we propose a Dynamic Prime Number Based Security Verification (DPBSV) scheme for big data streams. Our scheme is based on a common shared key that updated dynamically by generating synchronized prime numbers. The common shared key updates at both ends, i.e., source sensing devices and DSM, without further communication after handshaking. Theoretical analyses and experimental results of our DPBSV scheme show that it can significantly improve the efficiency of verification process by reducing the time and utilizing a smaller buffer size in DSM.