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Diversity to enhance autonomic computing self-protection

Authors: Michael Jarrett; Rudolph E. Seviora;

Diversity to enhance autonomic computing self-protection

Abstract

Self-protection is an attribute of autonomic computing systems, reflecting the requirement to proactively defend against attackers, and automatically detect and recover from attacks. As demonstrated by increasing numbers of Internet worms, a single previously unknown vulnerability can cause an entire infrastructure to crumble, due to software and hardware monocultures. One defence against complete failures is diversity: by utilizing differing implementations of software and hardware, the potential total damage from a single exploit is lessened. The self-deployment and self-configuration features of an autonomic computing infrastructure make it practical to use diversity as a self-protection mechanism. We explore the idea of using diversity as a factor in resource allocation decisions, showing how it could be used to limit the damage an attacker can inflict.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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