NDLI: Complexity-theoretic Modeling of Biological Cyanide Poisoning as Security Attack in Self-organizing Networks

Content Provider	IEEE Xplore Digital Library
Author	Jiejun Kong Xiaoyan Hong Dapeng Wu Gerla, M.
Copyright Year	2007
Description	Author affiliation: Univ. of Florida, Gainesville (Jiejun Kong)
Abstract	We draw an analogy of biological cyanide poisoning to security attacks in self-organizing mobile ad hoc networks. When a circulatory system is treated as an enclosed network space, a hemoglobin is treated as a mobile node, and a hemoglobin binding with cyanide ion is treated as a compromised node (which cannot bind with oxygen to furnish its oxygen-transport function), we show how cyanide poisoning can reduce the probability of oxygen/message delivery to a "negligible" quantity. Like modern cryptography, security problem in our network-centric model is defined on the complexity-theoretic concept of "negligible", which is asymptotically sub-polynomial with respect to a pre-defined system parameter x. Intuitively, the parameter x is the key length n in modern cryptography, but is changed to the network scale, or the number of network nodes N, in our model. Based on this new analytic model, we show that TIP (n-runs) complexity class with a virtual oracle can formally model the cyanide poisoning phenomenon and similar network threats. This new analytic approach leads to a new view of biological threats from the perspective of network security and complexity theoretic study.
Starting Page	914
Ending Page	921
File Size	3403048
Page Count	8
File Format	PDF
ISBN	9781424415090
DOI	10.1109/BIBE.2007.4375668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Self-organizing networks Circulatory system Biology computing Computer science Cryptography Complexity theory Bioinformatics Proteins Mobile ad hoc networks Self-organization Algorithms Modeling and Simulation of Bio-Sets Complexity Theory
Content Type	Text
Resource Type	Article

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