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20192025
most citedCooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

249 citations · 296 across the 32 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.DC2020

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…

cs.NE2020

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…

cs.SI2020

Hiding in Plain Sight: A Measurement and Analysis of Kids' Exposure to Malicious URLs on YouTube

Sultan Alshamrani, Ahmed Abusnaina, David Mohaisen

The Internet has become an essential part of children's and adolescents' daily life. Social media platforms are used as educational and entertainment resources on daily bases by yo…

cs.CV2020★ 1 cited

Generating Adversarial Examples with an Optimized Quality

Aminollah Khormali, DaeHun Nyang, David Mohaisen

Deep learning models are widely used in a range of application areas, such as computer vision, computer security, etc. However, deep learning models are vulnerable to Adversarial E…

cs.NI2020

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…

cs.CR2020★ 8 cited

Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses

Afsah Anwar, Ahmed Abusnaina, Songqing Chen +2

Vulnerability databases are vital sources of information on emergent software security concerns. Security professionals, from system administrators to developers to researchers, he…

cs.CR2020★ 2 cited

A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification

Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary +5

The wide acceptance of Internet of Things (IoT) for both household and industrial applications is accompanied by several security concerns. A major security concern is their probab…

cs.CR2020

Contra-*: Mechanisms for Countering Spam Attacks on Blockchain's Memory Pools

Muhammad Saad, Joongheon Kim, DaeHun Nyang +1

Blockchain-based cryptocurrencies, such as Bitcoin, have seen on the rise in their popularity and value, making them a target to several forms of Denial-of-Service (DoS) attacks, a…

cs.CR2020★ 2 cited

Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey

Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang +1

Mobile devices and technologies have become increasingly popular, offering comparable storage and computational capabilities to desktop computers allowing users to store and intera…