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Proceedings Paper

Sender independent delivery in a secure wireless platform
Author(s): John Spina; Neil Hunt; Michael Bilinski
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Paper Abstract

Although more information than ever before is available to support the knowledge discovery and decision making processes, the vast proliferation of types of data, devices, and protocols makes it increasingly difficult to ensure that the right information is received by the right people at the right time. It becomes even more challenging when the information has security classifications that need to be processed as well. This paper investigates methods and procedures for handling and disseminating information to users and groups of users that possess varying constraints, including security classifications. The cross-­domain implications are critical in that certain users must only be allowed access to information that meets their clearance level and need-­to-­know. The ability to securely manage and deliver critical knowledge and actionable intelligence to the decision maker regardless of device configuration (bandwidth, processing speed, etc.), classification level or location in a reliable manner, would provide anytime access to useable information. There are several important components to an intuitive system that can provide timely information in a receiver-­preferred manner. Besides the ability to format information to accommodate the user's device and profiles, it's very important to address multi-­level security, which could provide ability to properly send classified information across different domains, thus enabling faster dissemination of time critical information. One factor that may simplify this process is the information provider's disregard for the recipient's device limitations. The system that provides or "proxies" the transfer of information should handle the presentation to the receiver. These topics will be the main theme of this paper.

Paper Details

Date Published: 22 April 2010
PDF: 7 pages
Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 770402 (22 April 2010); doi: 10.1117/12.850218
Show Author Affiliations
John Spina, Air Force Research Lab. (United States)
Neil Hunt, Vision Systems & Technology, Inc. (United States)
Michael Bilinski, BAE Systems (United States)

Published in SPIE Proceedings Vol. 7704:
Evolutionary and Bio-Inspired Computation: Theory and Applications IV
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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