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"Non-Equilibrium Risk Models..." (Download Now)
Models derived from biology have proved to be valuable in computer science: neuralnetworks, genetic algorithms, swarms, and to some extent immune systems. Anotherbiological model which is gaining application in computing concerns a category of cybernetics known as autopoietic systems. The application of this theoretical work carriesimportant implications about the role of observers in a control system, adaptation in arunning system, and in certain other rigorous notions about cognition. In addition, there is a related body of work in non-equilibrium thermodynamics that provides a mathemati-cal basis for quantitative analysis given those conditions. In this paper we explore thedescription of the security infrastructure in an enterprise network as an autopoietic system. Building on that, we present indications for a novel form of quantitative analysis forrisk aggregation, which we call 'non-equilibrium risk models' (NERM).

"On The Rules of Engagement" (Download Now)
To date, the best practices for information security in the private sector have focused on defense. Tremendous efforts have gone into developing and marketing defensive network tools - so much so that the market space is cluttered with an array of "solutions" which become difficult to distinguish. Capabilities for active countermeasures have, for the most part, been considered outside of the appropriate scope of response for commercial enterprises.

"The Evolution of SIMS" (Download Now)
So far in the evolution of security infrastructures, there have been point solutions to point problems: firewalls for filtering packets, virtual private networks (VPNs) for extending intranets, vulnerability checkers for testing hosts, etc. Methods for integrating those point solutions into a consistent framework have been emerging commercially in the form of Security Infrastructure Management Systems (SIMS). Experience gained from our work in the field underscores how SIMS-based products have been born piecemeal out of necessity, not out of design. They tend to suffer from limiting factors such as:
  • Unacceptable latencies
  • Ties to specific vendors and platforms
  • Other artifactual concerns due to literal descent from earlier computing paradigms, such as Enterprise Network Management (ENM)
We consider the evolution of SIMS, and present a functional description for a SIMS appliance as the next advancement along that trajectory.

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