Design and implementation of S-MARKS: A secure middleware for pervasive computing applications

  • Authors:

  • Sheikh Iqbal Ahamed;Haifeng Li;Nilothpal Talukder;Mehrab Monjur;Chowdhury Sharif Hasan

  • Affiliations:

  • Department of Mathematics, Statistics and Computer Science, Marquette University, 1313 W. Wisconsin Avenue, Cudahy Hall 340, Milwaukee WI 53233, USA;Department of Mathematics, Statistics and Computer Science, Marquette University, 1313 W. Wisconsin Avenue, Cudahy Hall 340, Milwaukee WI 53233, USA;Department of Mathematics, Statistics and Computer Science, Marquette University, 1313 W. Wisconsin Avenue, Cudahy Hall 340, Milwaukee WI 53233, USA;Department of Mathematics, Statistics and Computer Science, Marquette University, 1313 W. Wisconsin Avenue, Cudahy Hall 340, Milwaukee WI 53233, USA;Department of Mathematics, Statistics and Computer Science, Marquette University, 1313 W. Wisconsin Avenue, Cudahy Hall 340, Milwaukee WI 53233, USA

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2009

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Abstract

As portable devices have become a part of our everyday life, more people are unknowingly participating in a pervasive computing environment. People engage with not a single device for a specific purpose but many devices interacting with each other in the course of ordinary activity. With such prevalence of pervasive technology, the interaction between portable devices needs to be continuous and imperceptible to device users. Pervasive computing requires a small, scalable and robust network which relies heavily on the middleware to resolve communication and security issues. In this paper, we present the design and implementation of S-MARKS which incorporates device validation, resource discovery and a privacy module.