In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
The Java (TM) Virtual Machine is being used more frequently as the basic engine behind dynamic web services. With the proliferation of network attacks on these network resources, ...
David M. Wheeler, Adam Conyers, Jane Luo, Alex Xio...
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
High level Petri Nets have recently been used for many AI applications, particularly for modelling traditional rule-based expert systems. The major effect is to facilitate the ana...
Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung