Agent-oriented design for network survivability

Abstract

Intelligent behavior is the selection of actions based on knowledge. The design of the fuzzy adaptive survivability tool (FAST) agents and their intelligent behavior is explained. A FAST agent uses Belief-Desire-Intention (BDI) logic as the reasoning framework to decide on desirable response plans. These decisions are both context-sensitive to take into account the changes in the network status and cost-sensitive to avoid the risk of collateral damage. A real-world scenario, which shows how the FAST agents choose desirable responses to mitigate scanning worm traffic, is also presented.