9 citations · 15 across the 5 of their papers we have counts for
7 papers
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles
Soohyun Park, Jeman Park, David Mohaisen +1
In this paper, we propose a novel deep Q-network (DQN)-based edge selection algorithm designed specifically for real-time surveillance in unmanned aerial vehicle (UAV) networks. Th…
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study
Jaesung Yoo, Jeman Park, An Wang +2
Generative Adversarial Network (GAN) is a useful type of Neural Networks in various types of applications including generative models and feature extraction. Various types of GANs…
Domain Name System Security and Privacy: A Contemporary Survey
Aminollah Khormali, Jeman Park, Hisham Alasmary +2
The domain name system (DNS) is one of the most important components of today's Internet, and is the standard naming convention between human-readable domain names and machine-rout…
A Privacy-Preserving Longevity Study of Tor's Hidden Services
Amirali Sanatinia, Jeman Park, Erik-Oliver Blass +2
Tor and hidden services have emerged as a practical solution to protect user privacy against tracking and censorship. At the same time, little is known about the lifetime and natur…
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems
Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary +4
The main goal of this study is to investigate the robustness of graph-based Deep Learning (DL) models used for Internet of Things (IoT) malware classification against Adversarial L…
Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach
Hisham Alasmary, Aminollah Khormali, Afsah Anwar +4
The growth in the number of Android and Internet of Things (IoT) devices has witnessed a parallel increase in the number of malicious software (malware), calling for new analysis a…