research
∙
03/05/2023
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
The network security analyzers use intrusion detection systems (IDSes) t...
share
research
∙
08/20/2021
An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks
The intrusion detection system (IDS) is an essential element of security...
research
∙
01/14/2021
Intelligent Reflecting Surfaces for Compute-and-Forward
In this paper, we show that using Intelligent Reflecting Surfaces (IRS) ...
research
∙
11/12/2020
Machine Learning Interpretability Meets TLS Fingerprinting
Protecting users' privacy over the Internet is of great importance. Howe...
research
∙
10/08/2020
A Variational Auto-Encoder Approach for Image Transmission in Wireless Channel
Recent advancements in information technology and the widespread use of ...
research
∙
09/19/2020
On Multi-Session Website Fingerprinting over TLS Handshake
Analyzing users' Internet traffic data and activities has a certain impa...
research
∙
01/14/2020
A Content-Based Deep Intrusion Detection System
By growing the number of Internet users and the prevalence of web applic...
research
∙
06/01/2019
Adaptive Online Learning for Gradient-Based Optimizers
As application demands for online convex optimization accelerate, the ne...
research
∙
02/12/2019
A Novel Communication Cost Aware Load Balancing in Content Delivery Networks using Honeybee Algorithm
Modern web services rely on Content Delivery Networks (CDNs) to efficien...
research
∙
05/30/2018