16 citations · 27 across the 8 of their papers we have counts for
8 papers
Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks
Erol Gelenbe, Mert Nakıp
Botnet attacks are a major threat to networked systems because of their ability to turn the network nodes that they compromise into additional attackers, leading to the spread of h…
Real-Time Cyberattack Detection with Offline and Online Learning
Erol Gelenbe, Mert Nakıp
This paper presents several novel algorithms for real-time cyberattack detection using the Auto-Associative Deep Random Neural Network, which were developed in the HORIZON 2020 IoT…
Nonnegative autoencoder with simplified random neural network
Yonghua Yin, Erol Gelenbe
This paper proposes new nonnegative (shallow and multi-layer) autoencoders by combining the spiking Random Neural Network (RNN) model, the network architecture typical used in deep…
Deep Learning in Multi-Layer Architectures of Dense Nuclei
Yonghua Yin, Erol Gelenbe
We assume that, within the dense clusters of neurons that can be found in nuclei, cells may interconnect via soma-to-soma interactions, in addition to conventional synaptic connect…
Adaptive Dispatching of Tasks in the Cloud
Lan Wang, Erol Gelenbe
The increasingly wide application of Cloud Computing enables the consolidation of tens of thousands of applications in shared infrastructures. Thus, meeting the quality of service…
Cloud Enabled Emergency Navigation Using Faster-than-real-time Simulation
Huibo Bi, Erol Gelenbe
State-of-the-art emergency navigation approaches are designed to evacuate civilians during a disaster based on real-time decisions using a pre-defined algorithm and live sensory da…