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Need for integrated quality of service and quality of protection in mobile systems
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Source
International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems table of contents
Vancouver, British Columbia, Canada
Pages 148-148  
Year of Publication: 2008
ISBN:978-1-60558-235-1
Author
Klara Nahrstedt  University of Illinois at Urbana-Champaign - USA , Urbana-Champaign, IL, USA
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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ABSTRACT

Recent large scale disasters have awaken governments at home and abroad to their needs for preparedness to support homeland security and public safety. First responders of various agencies are often on the frontline to assist in managing these events to protect lives and property. The effectiveness of their mission is highly dependent on capability of mobile wireless systems available at incident scenes, especially how their mobile infrastructure and devices can handle real-time responses and protection against threads and vulnerabilities in an integrated manner.

In this talk, we present challenges to achieve such integration when taking into account resource limitations in mobile systems and possible threats at incident scenes under varying Quality of Service (QoS) and Quality of Protection demands. We will amplify these challenges on three examples: (a) key management issues, (b) alert mechanisms if threats are detected, and (c) trading QoS/QoP issues when streaming multimedia data among mobile devices. In case of the cryptographic key management issues, we will examine combinatorial key solutions within the scopes of symmetric key cryptography and public key cryptography and how they fare under resource limitations and possible threats. In case of alert mechanisms we will discuss solutions such as Mobi-Herald and examine it against resource limitations and possible threats. Trading QoS/QoP algorithms for allowing streaming data will be examined, especially how well they deliver data under end-to-end delay and confidentiality demands in these resource-constrained situations.