Distributed Detection of New Virus Threats in Large Scale Networks
The goal of this research was to explore the possibility of extending the ideas exposed by John von Neumann in the paper Probabilistic Logics and the Synthesis of Reliable Organisms from Unreliable Components to build a very large scale intrusion detector system able to detect new cyber-attacks with higher reliability than its components. Specifically, the objective of this project was to design an information processor made of many components networked in such a way that the probability of false positive and false negative is smaller than is the case of the components. The first phase of the work consisted of familiarization with the details of the paper. Von Neumann described a system of "organs" in a nervous system. These "organs" were unlike their analogues, the heart or lungs. Rather the term described a small unit or component. Each organ had some chance of misfiring, termed epsilon. As a result, von Neumann's paper discussed a method of merging data together from a variety of organs so as to reduce the effect of "faulty" data. In addition, his paper addressed the issue of different messages being detected by different sensors. Von Neumann provided a method for combining this information by using properties of large numbers to find the "true state" of the system.