We explore the challenges and research directions in building models, protocols and architectures to support security in pervasive computing environments. We argue that to be succ...
We present APHRODITE, an architecture designed to reduce false positives in network intrusion-detection systems. APHRODITE works by detecting anomalies in the outgoing traffic, an...
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
An understanding of certain network functions is critical for successful network management. Managers must have insight into network topology, protocol performance and fault detec...
Prashant Rajvaidya, Kevin C. Almeroth, Kimberly C....
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...