Abstract
The near real-time processing of continuous data flows in large scale sensor networks has many applications in risk-critical domains ranging from emergency management to industrial control systems. The problem is how to ensure end-to-end security (e.g., integrity, and authenticity) of such data stream for risk-critical applications. We refer this as an online security verification problem. Existing security techniques cannot deal with this problem because they were not designed to deal with high volume, high velocity data in real-time. Furthermore, they are inefficient as they introduce a significant buffering delay during security verification, resulting in a requirement of large buffer size for the stream processing server. To address this problem, we propose a Dynamic Key Length Based Security Framework (DLSeF) based on the shared key derived from synchronized prime numbers; the key is dynamically updated in short intervals to thwart Man in the Middle and other Network attacks. Theoretical analyses and experimental results of DLSeF framework show that it can significantly improve the efficiency of processing stream data by reducing the security verification time without compromising the security.
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Acknowledgment
This research is funded by Australia India Strategic Research Grant titled “Innovative Solutions for Big Data and Disaster Management Applications on Clouds (AISRF - 08140)” from the Department of Industry, Australia.
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Puthal, D., Nepal, S., Ranjan, R., Chen, J. (2015). A Dynamic Key Length Based Approach for Real-Time Security Verification of Big Sensing Data Stream. In: Wang, J., et al. Web Information Systems Engineering – WISE 2015. WISE 2015. Lecture Notes in Computer Science(), vol 9419. Springer, Cham. https://doi.org/10.1007/978-3-319-26187-4_7
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DOI: https://doi.org/10.1007/978-3-319-26187-4_7
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