DocumentCode
3407972
Title
Information Security Implications of Autonomous Systems
Author
Hayat, Zia ; Reeve, Jeff ; Boutle, Chris ; Field, Martin
Author_Institution
Southampton Univ.
fYear
2006
fDate
23-25 Oct. 2006
Firstpage
1
Lastpage
7
Abstract
A key challenge within autonomous systems, which consist of autonomous entities (human or machine), is to automatically evaluate the relevance of information thus enabling individual entities to dynamically control access (classify) to any information they possess. This is particularly important when decentralized information sharing is required, ensuring that only authorized entities have access to potentially sensitive information. A high-level model for representing information relevance (and classification) based upon context-aware computing and role based access control concepts is described in this introductory paper, with potential future work detailed
Keywords
security of data; access control concept; autonomous entities; autonomous system; context-aware computing; information security; Access control; Automatic control; Autonomous agents; Communication system security; Computer security; Context modeling; Context-aware services; Control systems; Humans; Information security; Autonomous Systems; Information Classification; Information Security; Information Sharing & Network Centric Warfare;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference, 2006. MILCOM 2006. IEEE
Conference_Location
Washington, DC
Print_ISBN
1-4244-0617-X
Electronic_ISBN
1-4244-0618-8
Type
conf
DOI
10.1109/MILCOM.2006.302466
Filename
4086671
Link To Document