DocumentCode :
2761480
Title :
From Auto-adaptive to Survivable and Self-Regenerative Systems Successes, Challenges, and Future
Author :
Atighetchi, Michael ; Pal, Partha
Author_Institution :
Inf. & Knowledge Technol. Bus. Unit, BBN Technol., Cambridge, MA, USA
fYear :
2009
fDate :
9-11 July 2009
Firstpage :
98
Lastpage :
101
Abstract :
This paper charts the course of adaptive behavior in intrusion tolerance, starting from pre-programmed and user-controlled reactive adaptation to highly sophisticated autonomic and cognitively driven adaptation. The goal of intrusion-tolerance is to provide mission continuity even under conditions of sustained cyber attacks. We describe key themes of our previous work in adaptive cyber defense and introduction of autonomic response capabilities and discuss challenges that warrant further research. We also discuss the potential impact of new trends in distributed systems, e.g., service-oriented architecture and cloud computing, on future survivable systems, and point out new opportunities for developing sophisticated auto-adaptive capabilities for increased survivability .
Keywords :
distributed processing; fault tolerant computing; security of data; adaptive cyber defense; auto-adaptive system; autonomic computing; autonomic driven adaptation; autonomic response capabilities; cloud computing; cognitively driven adaptation; cyber attacks; distributed systems; intrusion tolerance; selfregenerative system; service-oriented architecture; survivable system; user-controlled reactive adaptation; Application software; Cloud computing; Costs; Fault tolerance; Information security; Information systems; Middleware; Resource management; Service oriented architecture; Uncertainty; Autonomous Computing; Cognitive Algorithms; Information Assurance; Intrusion Tolerance; Survivability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Applications, 2009. NCA 2009. Eighth IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-0-7695-3698-9
Electronic_ISBN :
978-0-7695-3698-9
Type :
conf
DOI :
10.1109/NCA.2009.12
Filename :
5190356
Link To Document :
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