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Adaptive Information Coding for Secure and Reliable Wireless Telesurgery Communications

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Abstract

Telesurgical Robot Systems (TRSs) have been the focus of research in academic, military, and commercial domains for many years. Contemporary TRSs address mission critical operations emerging in extreme fields such as battlefields, underwater, and disaster territories. The lack of wirelined communication infrastructure in such fields makes the use of wireless technologies including satellite and ad-hoc networks inevitable. TRSs over wireless environments pose unique challenges such as preserving a certain reliability threshold, adhering some maximum tolerable delay, and providing various security measures depending on the nature of the operation and communication environment. In this study, we present a novel approach that uses information coding to integrate both light-weight privacy and adaptive reliability in a single protocol called Secure and Statistically Reliable UDP (SSR-UDP). We prove that the offered security is equivalent to the existing AES-based long key crypto systems, yet, with significantly less computational overhead. Additionally, we demonstrate that the proposed scheme can meet high reliability and delay requirements of TRS applications in highly lossy environments while optimizing the bandwidth use. Our proposed SSR-UDP protocol can also be utilized in similar cyber-physical wireless application domains.

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Notes

  1. The order of the encoded messages are not important.

  2. As a rule of thumb, normal approximation to the binomial distribution improves whilst np ≥ 5 and n(1 − p) ≥ 5. Our empirical results, however, show that applying continuity correction significantly reduces the approximation error to tolerable values for small n and large p values.

  3. Note that each packet in TRS requires at least 1ms to be produced.

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Authors and Affiliations

  1. Department of Computer Science, The University of Texas at Dallas, Richardson, TX, 75080, USA

    Mehmet Engin Tozal, Kamil Sarac & Bhavani Thuraisingham

  2. Department of Software and Information Systems, University of North Carolina Charlotte, Charlotte, NC, 28223, USA

    Yongge Wang, Ehab Al-Shaer & Bei-Tseng Chu

Authors
  1. Mehmet Engin Tozal
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  2. Yongge Wang
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  3. Ehab Al-Shaer
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  4. Kamil Sarac
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  6. Bei-Tseng Chu
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Correspondence to Mehmet Engin Tozal.

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Tozal, M.E., Wang, Y., Al-Shaer, E. et al. Adaptive Information Coding for Secure and Reliable Wireless Telesurgery Communications. Mobile Netw Appl 18, 697–711 (2013). https://doi.org/10.1007/s11036-011-0333-3

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