A Vision of an Adaptive Artificial Immune System
Stephanie Forrest, Computer Science Department, University of New Mexico.
January 28, 1999, CNLS Conference Room, 10-11:30 am
Natural immune systems are sophisticated information processors. They
learn to recognize relevant patterns, they remember patterns that have
been seen previously, they use combinatorics to construct pattern
detectors efficiently, and they use diversity to promote robustness.
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.
The talk will describe recent progress on several related projects
which are incorporating principles and mechanisms from immunology into
computer security. It will emphasize recent work on network-based
intrusion detection in which normal behavior (self) is characterized
using TCP/IP packets. Several immune-inspired mechanisms are employed
to create a distributed and robust approach to network security, and
an outline of future extensions to make the system more immunological
will be given.