Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Enterprise network security is typically reactive, and it relies heavily on host security and middleboxes. This approach creates complicated interactions between protocols and sys...
Ankur Kumar Nayak, Alex Reimers, Nick Feamster, Ru...
Abstract—In this paper, we present NetQuest, a flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active measurements that m...
It has been shown that sets of convergent operators with a shared fixed point can simulate autonomic control mechanisms, but many questions remain about this management technique....
Recording raw network traffic for long-term periods can be extremely beneficial for a multitude of monitoring and security applications. However, storing all traffic of high volume...