Jan 24, 1997
AbstractNatural immune systems are sophisticated information processors. They learn to recognize relevant patterns, they remember patterns that have been seen previously, and they use combinatorics to construct pattern detectors efficiently. Further, the individual cells and molecules that comprise the immune system are distributed throughout our bodies, encoding and controlling the system in parallel with no central control mechanism. Understanding the immune system is important, both because of its role in complex diseases such as AIDS and because of potential applications to computational problems. If we can understand the immune system from a computational viewpoint, we may gain insights about how to engineer massively parallel adaptive computations.
The talk will describe a project which is aimed at building computer security systems that incorporate the principles and mechanisms used by natural immune systems. It will emphasize our current work on an anomaly detection system in which "normal" is defined by short-range correlations in a Unix process's system calls. Initial experiments suggest that the definition is stable during normal behavior and that it can detect several common intrusions involving sendmail and other processes.
The views, opinions and assumptions expressed in these videos are those of the presenter and do not necessarily reflect the official policy or position of CERIAS or Purdue University. All content included in these videos, are the property of Purdue University, the presenter and/or the presenter’s organization, and protected by U.S. and international copyright laws. The collection, arrangement and assembly of all content in these videos and on the hosting website exclusive property of Purdue University. You may not copy, reproduce, distribute, publish, display, perform, modify, create derivative works, transmit, or in any other way exploit any part of copyrighted material without permission from CERIAS, Purdue University.