Examining the Security of DDoS Detection Systems in Software Defined Networks. - Ahmed Abusnaina; DaeHun Nyang; Murat Yuksel; Aziz Mohaisen (CoNEXT Companion, 2019)

Subgraph-Based Adversarial Examples Against Graph-Based IoT Malware Detection Systems. - Ahmed Abusnaina; Hisham Alasmary; Mohammed Abuhamad; Saeed Salem; DaeHun Nyang; Aziz Mohaisen (CSoNet, 2019)

Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks. - Ahmed Abusnaina; Aminollah Khormali; DaeHun Nyang; Murat Yuksel; Aziz Mohaisen (DSC, 2019)

Honor among Thieves: Towards Understanding the Dynamics and Interdependencies in IoT Botnets. - Jinchun Choi; Ahmed Abusnaina; Afsah Anwar; An Wang 002; Songqing Chen; DaeHun Nyang; Aziz Mohaisen (DSC, 2019)

Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Aziz Mohaisen (ICDCS, 2019)

Breaking graph-based IoT malware detection systems using adversarial examples: poster. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Ulku Meteriz; Aziz Mohaisen (WiSec, 2019)

Examining Adversarial Learning against Graph-based IoT Malware Detection Systems. - Ahmed Abusnaina; Aminollah Khormali; Hisham Alasmary; Jeman Park 001; Afsah Anwar; Ulku Meteriz; Aziz Mohaisen (CoRR, 2019)

COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection. - Aminollah Khormali; Ahmed Abusnaina; Songqing Chen; DaeHun Nyang; Aziz Mohaisen (CoRR, 2019)

Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach. - Hisham Alasmary; Aminollah Khormali; Afsah Anwar; Jeman Park 001; Jinchun Choi; Ahmed Abusnaina; Amro Awad; DaeHun Nyang; Aziz Mohaisen (IEEE Internet Things J., 2019)

Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube. - Sultan Alshamrani; Mohammed Abuhamad; Ahmed Abusnaina; David Mohaisen (CIKM (Workshops), 2020)

An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. - Sultan Alshamrani; Ahmed Abusnaina; Mohammed Abuhamad; Anho Lee; DaeHun Nyang; David Mohaisen (CSoNet, 2020)

Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. - Hisham Alasmary; Ahmed Abusnaina; Rhongho Jang; Mohammed Abuhamad; Afsah Anwar; DaeHun Nyang; David Mohaisen (ICDCS, 2020)

Hiding in Plain Sight: A Measurement and Analysis of Kids' Exposure to Malicious URLs on YouTube. - Sultan Alshamrani; Ahmed Abusnaina; David Mohaisen (SEC, 2020)

DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. - Ahmed Abusnaina; Rhongho Jang; Aminollah Khormali; DaeHun Nyang; David Mohaisen (INFOCOM, 2020)

From Blue-Sky to Practical Adversarial Learning. - Aminollah Khormali; Ahmed Abusnaina; Songqing Chen; DaeHun Nyang; David Mohaisen (TPS-ISA, 2020)

Insights into Attacks' Progression: Prediction of Spatio-Temporal Behavior of DDoS Attacks. - Ahmed Abusnaina; Mohammed Abuhamad; DaeHun Nyang; Songqing Chen; An Wang 002; David Mohaisen (WISA, 2020)

Understanding the Proxy Ecosystem: A Comparative Analysis of Residential and Open Proxies on the Internet. - Jinchun Choi; Mohammed Abuhamad; Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Jeman Park 001; Daehun Nyang; David Mohaisen (IEEE Access, 2020)

Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. - Mohammed Abuhamad; Ahmed Abusnaina; DaeHun Nyang; David Mohaisen (CoRR, 2020)

A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. - Ahmed Abusnaina; Mohammed Abuhamad; Hisham Alasmary; Afsah Anwar; Rhongho Jang; Saeed Salem; DaeHun Nyang; David Mohaisen (CoRR, 2020)

Automated Privacy Policy Annotation with Information Highlighting Made Practical Using Deep Representations. - Abdulrahman Alabduljabbar; Ahmed Abusnaina; Ülkü Meteriz-Yildiran; David Mohaisen (CCS, 2021)

Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. - Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; Rhongho Jang; DaeHun Nyang; David Mohaisen (DSN (Supplements), 2021)

Adversarial Example Detection Using Latent Neighborhood Graph. - Ahmed Abusnaina; Yuhang Wu 002; Sunpreet S. Arora; Yizhen Wang; Fei Wang 062; Hao Yang 007; David Mohaisen (ICCV, 2021)

TLDR: Deep Learning-Based Automated Privacy Policy Annotation with Key Policy Highlights. - Abdulrahman Alabduljabbar; Ahmed Abusnaina; Ülkü Meteriz-Yildiran; David Mohaisen (WPES@CCS, 2021)

Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. - Sultan Alshamrani; Ahmed Abusnaina; Mohammed Abuhamad; Daehun Nyang; David Mohaisen (WWW (Companion Volume), 2021)

ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation. - Hisham Alasmary; Afsah Anwar; Ahmed Abusnaina; Abdulrahman Alabduljabbar; Mohammad Abuhamad; An Wang 002; DaeHun Nyang; Amro Awad; David Mohaisen (CoRR, 2021)

ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. - Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; RhongHo Jang; Daehun Nyang; David Mohaisen (CoRR, 2021)

Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey. - Mohammed Abuhamad; Ahmed Abusnaina; Daehun Nyang; David Mohaisen (IEEE Internet Things J., 2021)

Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems. - Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; RhongHo Jang; DaeHun Nyang; David Mohaisen (RAID, 2022)

ShellCore: Automating Malicious IoT Software Detection Using Shell Commands Representation. - Hisham Alasmary; Afsah Anwar; Ahmed Abusnaina; Abdulrahman Alabduljabbar; Mohammed Abuhamad; An Wang 002; Daehun Nyang; Amro Awad; David Mohaisen (IEEE Internet Things J., 2022)

DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. - Ahmed Abusnaina; Mohammed Abuhamad; Hisham Alasmary; Afsah Anwar; Rhongho Jang; Saeed Salem; DaeHun Nyang; David Mohaisen (IEEE Trans. Dependable Secur. Comput., 2022)

Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses. - Afsah Anwar; Ahmed Abusnaina; Songqing Chen; Frank Li 001; David Mohaisen (IEEE Trans. Dependable Secur. Comput., 2022)

Measuring and Modeling the Free Content Web. - Abdulrahman Alabduljabbar; Runyu Ma; Ahmed Abusnaina; Rhongho Jang; Songqing Chen; DaeHun Nyang; David Mohaisen (CoRR, 2023)

Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations. - Ahmed Abusnaina; Yizhen Wang; Sunpreet S. Arora; Ke Wang; Mihai Christodorescu; David Mohaisen (CoRR, 2023)

Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift. - Ahmed Abusnaina; Afsah Anwar; Muhammad Saad 001; Abdulrahman Alabduljabbar; Rhongho Jang; Saeed Salem; David Mohaisen (WISE (2), 2024)