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A Dynamic Key Length Based Approach for Real-Time Security Verification of Big Sensing Data Stream

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Book cover Web Information Systems Engineering – WISE 2015 (WISE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9419))

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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.

Author information

Authors and Affiliations

  1. Faculty of Engineering and IT, University of Technology Sydney, Ultimo, Australia

    Deepak Puthal & Jinjun Chen

  2. Digital Productivity Flagship, CSIRO, Canberra, Australia

    Surya Nepal & Rajiv Ranjan

Authors
  1. Deepak Puthal
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  2. Surya Nepal
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  3. Rajiv Ranjan
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  4. Jinjun Chen
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Corresponding author

Correspondence to Deepak Puthal .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Jianyong Wang

  2. Poznan University of Economics, Poznan, Poland

    Wojciech Cellary

  3. Florida Atlantic University, Boca Raton, Florida, USA

    Dingding Wang

  4. Victoria University, Melbourne, Victoria, Australia

    Hua Wang

  5. Florida International University, Miami, Florida, Florida, USA

    Shu-Ching Chen

  6. Florida International University, Miami, Florida, USA

    Tao Li

  7. Victoria University, Melbourne, Victoria, Australia

    Yanchun Zhang

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© 2015 Springer International Publishing Switzerland

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26186-7

  • Online ISBN: 978-3-319-26187-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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