Wednesday

An Artificial Immune System Strategy

This is a AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH DEPT OF COMPUTER SCIENCE report procured by the Pentagon and made available for public release.

It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover.

The Storming Media report number is A704614. The abstract provided by the Pentagon follows: The timely detection and classification of chemical and biological agents in a wartime environment is a critical component of force protection in hostile areas.

Moreover, the possibility of toxic agent use in heavily populated civilian areas has risen dramatically in recent months.

This thesis effort proposes a strategy for identifying such agents vis distributed sensors in an Artificial Immune System (AIS) network. The system may be used to complement "electronic" nose ("E-nose") research being conducted in part by the Air Force Research Laboratory Sensors Directorate.

In addition, the proposed strategy may facilitate fulfillment of a recent mandate by the President of the United States to the Office of Homeland Defense for the provision of a system that protects civilian populations from chemical and biological agents.

The proposed system is composed of networked sensors and nodes, communicating via wireless or wired connections. Measurements are continually taken via dispersed, redundant, and heterogeneous sensors strategically placed in high threat areas.

These sensors continually measure and classify air or liquid samples, alerting personnel when toxic agents are detected. Detection is based upon the Biological Immune System (BIS) model of antigens and antibodies, and alerts are generated when a measured sample is determined to be a valid toxic agent (antigen).

Agent signatures (antibodies) are continually distributed throughout the system to adapt to changes in the environment or to new antigens.

Author: Mark A. Esslinger
Publisher: Storming Media