activity
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

collaborators

33 papers

cs.CR2025★ 2 cited

Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis

Mohammed Kharma, Soohyeon Choi, Mohammed AlKhanafseh +1

Artificial Intelligence (AI)-driven code generation tools are increasingly used throughout the software development lifecycle to accelerate coding tasks. However, the security of A…

cs.SE2025★ 1 cited

I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution

Soohyeon Choi, Yong Kiam Tan, Mark Huasong Meng +4

Source code authorship attribution is important in software forensics, plagiarism detection, and protecting software patch integrity. Existing techniques often rely on supervised m…

cs.CR2023

Untargeted Code Authorship Evasion with Seq2Seq Transformation

Soohyeon Choi, Rhongho Jang, DaeHun Nyang +1

Code authorship attribution is the problem of identifying authors of programming language codes through the stylistic features in their codes, a topic that recently witnessed signi…

cs.CR2023

The Infrastructure Utilization of Free Contents Websites Reveal their Security Characteristics

Mohamed Alqadhi, David Mohaisen

Free Content Websites (FCWs) are a significant element of the Web, and realizing their use is essential. This study analyzes FCWs worldwide by studying how they correlate with diff…

cs.LG2023★ 3 cited

Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations

Ahmed Abusnaina, Yizhen Wang, Sunpreet Arora +3

Toward robust malware detection, we explore the attack surface of existing malware detection systems. We conduct root-cause analyses of the practical binary-level black-box adversa…

cs.CR2023

Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure

Mohammed Alqadhi, Ali Alkinoon, Saeed Salem +1

This paper examines free content websites (FCWs) and premium content websites (PCWs) in different countries, comparing them to general websites. The focus is on the distribution of…

cs.CY2023

Measuring and Modeling the Free Content Web

Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina +4

Free content websites that provide free books, music, games, movies, etc., have existed on the Internet for many years. While it is a common belief that such websites might be diff…

cs.CR2023★ 1 cited

Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study

Mohammed Alkinoon, Abdulrahman Alabduljabbar, Hattan Althebeiti +3

Using a total of 4,774 hospitals categorized as government, non-profit, and proprietary hospitals, this study provides the first measurement-based analysis of hospitals' websites a…

cs.CR2023★ 1 cited

SHIELD: Thwarting Code Authorship Attribution

Mohammed Abuhamad, Changhun Jung, David Mohaisen +1

Authorship attribution has become increasingly accurate, posing a serious privacy risk for programmers who wish to remain anonymous. In this paper, we introduce SHIELD to examine t…

cs.CR2023★ 1 cited

Analyzing In-browser Cryptojacking

Muhammad Saad, David Mohaisen

Cryptojacking is the permissionless use of a target device to covertly mine cryptocurrencies. With cryptojacking, attackers use malicious JavaScript codes to force web browsers int…

cs.CR2022★ 1 cited

Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective

Ulku Meteriz-Yildiran, Necip Fazil Yildiran, Joongheon Kim +1

The extensive use of smartphones and wearable devices has facilitated many useful applications. For example, with Global Positioning System (GPS)-equipped smart and wearable device…

cs.CR2022★ 2 cited

Do Content Management Systems Impact the Security of Free Content Websites? A Correlation Analysis

Mohammed Alaqdhi, Abdulrahman Alabduljabbar, Kyle Thomas +3

This paper investigates the potential causes of the vulnerabilities of free content websites to address risks and maliciousness. Assembling more than 1,500 websites with free and p…

cs.CR2022★ 3 cited

Enriching Vulnerability Reports Through Automated and Augmented Description Summarization

Hattan Althebeiti, David Mohaisen

Security incidents and data breaches are increasing rapidly, and only a fraction of them is being reported. Public vulnerability databases, e.g., national vulnerability database (N…

cs.CV2022

Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications

Won Joon Yun, Soohyun Park, Joongheon Kim +1

Guaranteeing real-time and accurate object detection simultaneously is paramount in autonomous driving environments. However, the existing object detection neural network systems a…

cs.AR2022★ 4 cited

FAT-PIM: Low-Cost Error Detection for Processing-In-Memory

Kazi Abu Zubair, Sumit Kumar Jha, David Mohaisen +2

Processing In Memory (PIM) accelerators are promising architecture that can provide massive parallelization and high efficiency in various applications. Such architectures can inst…

eess.SY2022★ 249 cited

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

Won Joon Yun, Soohyun Park, Joongheon Kim +4

CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key technology for security in smart city environments. This paper creates a case where the UAVs with…

cs.CL2022★ 3 cited

Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions

Marwan Omar, Soohyeon Choi, DaeHun Nyang +1

Recent natural language processing (NLP) techniques have accomplished high performance on benchmark datasets, primarily due to the significant improvement in the performance of dee…

cs.NI2021★ 8 cited

Count-Less: A Counting Sketch for the Data Plane of High Speed Switches

SunYoung Kim, Changhun Jung, RhongHo Jang +2

Demands are increasing to measure per-flow statistics in the data plane of high-speed switches. Measuring flows with exact counting is infeasible due to processing and memory const…

cs.CR2021

ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation

Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani +4

The rapid growth of the Internet of Things (IoT) devices is paralleled by them being on the front-line of malicious attacks. This has led to an explosion in the number of IoT malwa…

cs.CR2021

ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation

Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina +6

The Linux shell is a command-line interpreter that provides users with a command interface to the operating system, allowing them to perform a variety of functions. Although very u…

cs.CR2021★ 1 cited

Understanding Internet of Things Malware by Analyzing Endpoints in their Static Artifacts

Afsah Anwar, Jinchun Choi, Abdulrahman Alabduljabbar +7

The lack of security measures among the Internet of Things (IoT) devices and their persistent online connection gives adversaries a prime opportunity to target them or even abuse t…

cs.CY2021

Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube

Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad +2

Social media has become an essential part of the daily routines of children and adolescents. Moreover, enormous efforts have been made to ensure the psychological and emotional wel…

cs.CR2021★ 3 cited

e-PoS: Making Proof-of-Stake Decentralized and Fair

Muhammad Saad, Zhan Qin, Kui Ren +2

Blockchain applications that rely on the Proof-of-Work (PoW) have increasingly become energy inefficient with a staggering carbon footprint. In contrast, energy-efficient alternati…

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…