Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Intrusion detection, as a complementary mechanism to intrusion prevention, is necessary to secure wireless Mobile Ad hoc Networks (MANETs). In this paper we propose a practical age...
Hongmei Deng, Roger Xu, Frank Zhang, Chiman Kwan, ...
In this paper we present an intrusion detection engine comprised of two main elements; firstly, a neural network for the actual detection task and secondly watermarking techniques...