Search Results for author:
Found 2 papers, 2 papers with code
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network
Our results demonstrate that in comparison to conventional DLM techniques, our model maintains a high testing accuracy of 99% even with lower resource utilization in terms of cpu and memory.
Ranked #1 on
Network Intrusion Detection
on UNSW-NB15
Vermillion: A High-Performance Scalable IoT Middleware for Smart Cities
In this paper, we present "Vermillion'', a scalable, secure and open-source IoT middleware for smart cities which provides in-built support for scaling-out.
Distributed, Parallel, and Cluster Computing
