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Secure Service Composition with Quantitative Information Flow Evaluation in Mobile Computing Environments.

Ning Xi1, Jing Lv1, Cong Sun1

  • 1School of Cyber Engineering, Xidian University, Xi'an 710071, China.

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|December 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a distributed quantitative information flow evaluation for mobile service composition. It enhances composite service availability while ensuring data security across heterogeneous mobile devices.

Keywords:
mobile computingquantitative information flowsecure information flow modelservice composition

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Area of Science:

  • Computer Science
  • Mobile Computing
  • Cybersecurity

Background:

  • Mobile devices cooperate for complex tasks, but data sensitivity and system heterogeneity challenge information flow security.
  • Qualitative information flow control (non-interference) ensures security but can limit service availability and increase failure rates.

Purpose of the Study:

  • To propose a distributed quantitative information flow evaluation approach for secure service composition in mobile environments.
  • To address the limitations of qualitative methods by enabling precise leakage evaluation and customized security policies.

Main Methods:

  • Developed a distributed quantitative information flow evaluation method for multi-device service composition.
  • Employed a distributed approach to balance energy consumption on mobile devices.

Main Results:

  • The proposed approach effectively improves the availability of composite services.
  • Experimental results demonstrate that data security is maintained during service composition.

Conclusions:

  • The distributed quantitative information flow evaluation offers a viable solution for balancing security and availability in mobile service composition.
  • This method provides a more precise and flexible approach to managing information flow security in diverse mobile ecosystems.