Boosting Usability for Protecting Online Banking Applications Against APTs. - Mohannad Alhanahnah; David W. Chadwick (CCC, 2016)

Breast Cancer Detection Using K-Nearest Neighbor Machine Learning Algorithm. - Moh'd Rasoul Al-Hadidi; Abdulsalam Alarabeyyat; Mohannad Alhanahnah (DeSE, 2016)

A Multidimension Taxonomy of Insider Threats in Cloud Computing. - Mohannad J. Alhanahnah; Arshad Jhumka; Sahel Alouneh (Comput. J., 2016)

Trusting Cloud Service Providers: Trust Phases and a Taxonomy of Trust Factors. - Mohannad J. Alhanahnah; Peter Bertók; Zahir Tari (IEEE Cloud Comput., 2017)

Efficient Signature Generation for Classifying Cross-Architecture IoT Malware. - Mohannad Alhanahnah; Qicheng Lin; Qiben Yan; Ning Zhang 017; Zhenxiang Chen (CNS, 2018)

Towards best secure coding practice for implementing SSL/TLS. - Mohannad Alhanahnah; Qiben Yan (INFOCOM Workshops, 2018)

Context-Aware Multifaceted Trust Framework For Evaluating Trustworthiness of Cloud Providers. - Mohannad J. Alhanahnah; Peter Bertók; Zahir Tari; Sahel Alouneh (Future Gener. Comput. Syst., 2018)

Detecting Vulnerable Android Inter-App Communication in Dynamically Loaded Code. - Mohannad Alhanahnah; Qiben Yan; Hamid Bagheri; Hao Zhou 009; Yutaka Tsutano; Witawas Srisa-an; Xiapu Luo (INFOCOM, 2019)

Scalable analysis of interaction threats in IoT systems. - Mohannad Alhanahnah; Clay Stevens; Hamid Bagheri (ISSTA, 2020)

Software Quality Assessment for Robot Operating System. - Mohannad Alhanahnah (CoRR, 2020)

DINA: Detecting Hidden Android Inter-App Communication in Dynamic Loaded Code. - Mohannad Alhanahnah; Qiben Yan; Hamid Bagheri; Hao Zhou 009; Yutaka Tsutano; Witawas Srisa-an; Xiapu Luo (IEEE Trans. Inf. Forensics Secur., 2020)

Lightweight, Multi-Stage, Compiler-Assisted Application Specialization. - Mohannad Alhanahnah; Rithik Jain; Vaibhav Rastogi; Somesh Jha; Thomas W. Reps (EuroS&P, 2022)

Robust Learning against Relational Adversaries. - Yizhen Wang; Mohannad Alhanahnah; Xiaozhu Meng; Ke Wang; Mihai Christodorescu; Somesh Jha (NeurIPS, 2022)

Practical Data Access Minimization in Trigger-Action Platforms. - Yunang Chen; Mohannad Alhanahnah; Andrei Sabelfeld; Rahul Chatterjee 001; Earlence Fernandes (USENIX Security Symposium, 2022)

Machine Learning Containers are Bloated and Vulnerable. - Huaifeng Zhang; Fahmi Abdulqadir Ahmed; Dyako Fatih; Akayou Kitessa; Mohannad Alhanahnah; Philipp Leitner 001; Ahmed Ali-Eldin (CoRR, 2022)

BLAFS: A Bloat Aware File System. - Huaifeng Zhang; Mohannad Alhanahnah; Ahmed Ali-Eldin (CoRR, 2023)

Unleashing the Adversarial Facet of Software Debloating. - Do-Men Su; Mohannad Alhanahnah (CoRR, 2023)

slash: A Technique for Static Configuration-Logic Identification. - Mohannad Alhanahnah; Philipp Dominik Schubert; Thomas W. Reps; Somesh Jha; Eric Bodden (CoRR, 2023)

autoMPI: Automated Multiple Perspective Attack Investigation With Semantics Aware Execution Partitioning. - Mohannad Alhanahnah; Shiqing Ma; Ashish Gehani; Gabriela F. Ciocarlie; Vinod Yegneswaran; Somesh Jha; Xiangyu Zhang 001 (IEEE Trans. Software Eng., 2023)

IoTCom: Dissecting Interaction Threats in IoT Systems. - Mohannad Alhanahnah; Clay Stevens; Bocheng Chen; Qiben Yan; Hamid Bagheri (IEEE Trans. Software Eng., 2023)

SoK: Software Debloating Landscape and Future Directions. - Mohannad Alhanahnah; Yazan Boshmaf; Ashish Gehani (FEAST@CCS, 2024)

Software Debloating from Exception-Handler Lenses. - Mohannad Alhanahnah; Arshad Jhumka (FEAST@CCS, 2024)

An Empirical Evaluation of Pre-trained Large Language Models for Repairing Declarative Formal Specifications. - Mohannad Alhanahnah; Md Rashedul Hasan; Hamid Bagheri (CoRR, 2024)

DepsRAG: Towards Managing Software Dependencies using Large Language Models. - Mohannad Alhanahnah; Yazan Boshmaf; Benoit Baudry (CoRR, 2024)

Machine Learning Systems are Bloated and Vulnerable. - Huaifeng Zhang; Mohannad Alhanahnah; Fahmi Abdulqadir Ahmed; Dyako Fatih; Philipp Leitner 001; Ahmed Ali-Eldin (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Towards More Dependable Specifications: An Empirical Study Exploring the Synergy of Traditional and LLM-Based Repair Approaches. - Md Rashedul Hasan; Mohannad Alhanahnah; Clay Stevens; Hamid Bagheri (DSN, 2025)

PEA: Enhancing LLM Performance on Computational-Reasoning Tasks. - Zi Wang; Shiwei Weng; Mohannad Alhanahnah; Somesh Jha; Thomas W. Reps (CoRR, 2025)

BACFuzz: Exposing the Silence on Broken Access Control Vulnerabilities in Web Applications. - I Putu Arya Dharmaadi; Mohannad Alhanahnah; Van-Thuan Pham; Fadi Mohsen; Fatih Turkmen (CoRR, 2025)