Research Article

An empirical energy model for secure Web browsing over mobile devices

  1. Sanaa Sharafeddine*,
  2. Amal El Arid

Article first published online: 25 OCT 2011

DOI: 10.1002/sec.391

Issue

Security and Communication Networks

Security and Communication Networks

Volume 5, Issue 9, pages 1037–1048, September 2012

Additional Information

How to Cite

Sharafeddine, S. and Arid, A. E. (2012), An empirical energy model for secure Web browsing over mobile devices. Security Comm. Networks, 5: 1037–1048. doi: 10.1002/sec.391

Author Information

  1. Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon

* Sanaa Sharafeddine, Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
E-mail: sanaa.sharafeddine@lau.edu.lb

Publication History

  1. Issue published online: 22 AUG 2012
  2. Article first published online: 25 OCT 2011
  3. Manuscript Accepted: 22 AUG 2011
  4. Manuscript Revised: 29 JUN 2011
  5. Manuscript Received: 19 MAR 2011

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Keywords:

  • mobile devices;
  • mobile Web browsing;
  • energy modeling;
  • energy consumption measurements;
  • HTTPs;
  • SSL protocol;
  • TLS protocol

ABSTRACT

Quantifying and modeling energy consumption in mobile devices are essential for developing energy-aware protocols and energy reduction techniques. In this work, we address the energy requirements for secure Web browsing sessions over handheld mobile devices. The contributions of this work are twofold. On one hand, we present a detailed study based on experimental measurements to quantify the energy consumed by the mobile device during secure Web browsing sessions. This includes the energy consumed due to data transmission/reception, encryption/decryption, hashing in addition to browser processing. On the other hand, we derive an empirical energy consumption model for secure Web browsing as a function of various protocol and device parameters. The developed model can be utilized to identify the various components that affect energy consumption during secure Web browsing sessions, to implement application-layer energy models in network simulation tools, and to develop adaptive energy-aware Web browsing protocols. The effectiveness of the developed model is demonstrated via experimental testing on several secure websites. Copyright © 2011 John Wiley & Sons, Ltd.

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