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Refereed Journal Publications

• Large Language Models for Malware Detection: A Systematic Review, Taxonomy, and Open Challenges
  Joyce Champie and Karim Elish
  IEEE Access, vol. 14, pp. 52734-52752, April 2026.
• RepackDroid: An Efficient Detection Model for Repackaged Android Applications
  Tito Leadon and Karim Elish
  Information, vol. 16, no. 12, Article 1075, December 2025.
• Lightweight, Effective Detection and Characterization of Mobile Malware Families
  Karim Elish, Mahmoud Elish, and Hussain Almohri
  IEEE Transactions on Computers (TC), vol. 71, no. 11, November 2022.
• An Empirical Comparison of Resampling Ensemble Methods of Deep Learning Neural Networks for Cross-Project Software Defect Prediction
  Mahmoud Elish and Karim Elish
  International Journal of Intelligent Engineering and Systems (IJISAE), vol. 14, no. 3, 2021.
• A Client Bootstrapping Protocol for DoS Attack Mitigation on Entry Point Services in the Cloud
  Hussain Almohri, M. Almutawa, M. Alawadh, and Karim Elish
  Security and Communication Networks (SCN), 2020.
• Identifying Mobile Inter-App Communication Risks
  Karim Elish, Haipeng Cai, Daniel Barton, Danfeng Yao, and Barbara Ryder
  IEEE Transactions on Mobile Computing (TMC), vol. 19, no. 1, January 2020.
• Profiling User-Trigger Dependence for Android Malware Detection
  Karim Elish, Xiaokui Shu, Danfeng Yao, Barbara Ryder, and Xuxian Jiang
  Computers & Security, vol. 49, pp. 255–273, March 2015.
• Using Software Quality Attributes to Classify Refactoring to Patterns
  Karim Elish and Mohammed Alshayeb
  Journal of Software (JSW), vol. 7, no. 2, February 2012.
• A Classification of Refactoring Methods Based on Software Quality Attributes
  Karim Elish and Mohammed Alshayeb
  Arabian Journal for Science and Engineering (AJSE), vol. 36, no. 7, November 2011.
• Predicting Defect-Prone Software Modules Using Support Vector Machines
  Karim Elish and Mahmoud Elish
  Journal of Systems and Software (JSS), vol. 81, no. 5, May 2008.
  Among Top 10 Most Cited Papers Published by JSS

Refereed Conference and Workshop Publications

• STALKER: Composed Quasi-Identifiers and LLM-Amplified Behavioral Leakage in Anonymized Marketplace Data
  Anastasiya Dmytryk, Sami El-Yaagoubi, Lucas Batista, Philipp Kouterguine, Samuel Gerken, Abdulaziz Alhamadani, and Karim Elish
  Proceedings of the 12th ACM International Workshop on Security and Privacy Analytics (IWSPA), co-located with the 16th ACM Conference on Data and Application Security and Privacy (CODASPY)
  Frankfurt am Main, Germany, June 2026.
• Rethinking MVC Violations as Security-Aware Architectural Smells in Android Applications
  Mohamed Sylla and Karim Elish
  Proceedings of the 23rd IEEE International Conference on Software Architecture (ICSA), New and Emerging Ideas Track
  Amsterdam, Netherlands, June 2026.
  Distinguished Paper Award Candidate
• Automated Reproduction of Android Application Bugs with LLMs: Are We There Yet?
  Dennis Carey, Karim Elish, and Paniz Abedin
  Proceedings of the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST), Short Papers, Vision and Emerging Results Track
  Daejeon, South Korea, May 2026.
• AndroMetric: Bridging Multi-Dimensional Software Metrics and Mobile Application Security
  Sebastian Siedler and Karim Elish
  Proceedings of the 23rd IEEE/ACM International Conference on Mining Software Repositories (MSR), Data and Tool Showcase Track
  Rio de Janeiro, Brazil, April 2026.
• SMELLDroid: A Dataset for Code Smells in Android Apps
  Joyce Champie, Karim Elish, and Mahmoud Elish
  Proceedings of the 23rd IEEE/ACM International Conference on Mining Software Repositories (MSR), Data and Tool Showcase Track
  Rio de Janeiro, Brazil, April 2026.
• MIRROR: A Dataset of Structural Metrics for Repackaged Android Apps
  Sebastian Siedler and Karim Elish
  Proceedings of the 3rd IEEE/ACM International Conference on AI Foundation Models and Software Engineering (FORGE), Data and Benchmarking Track
  Rio de Janeiro, Brazil, April 2026.
• High-Accuracy Android Ransomware Detection Using SMALI Code-Based Analysis
  Vinicius Seixas and Karim Elish
  Proceedings of the IEEE International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
  Antalya, Turkey, August 2025.
• A New Collaborative Approach to Multidisciplinary Capstone Design at Florida Polytechnic University
  M. Bohm, J. Dewey, Karim Elish, E. Kames, A. Murphy, O. Toker, and D. Ulybyshev
  Proceedings of the ASEE Annual Conference and Exposition, American Society for Engineering Education
  Montreal, Canada, June 2025.
• Stealthy No More: An Effective Ensemble Learning Approach for Detecting Android RATs
  Nesreen Dalhy and Karim Elish
  Proceedings of the IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications (SERA)
  Las Vegas, NV, May 2025.
• FSProtoTransfer: Synergizing Few-Shot, Prototypical Networks, and Transfer Learning for Intrusion Detection in VANETs
  Ayesha Dina, Colby Edell, Karim Elish, and Arijet Sarker
  Proceedings of the 38th International FLAIRS Conference, Florida Artificial Intelligence Research Society (FLAIRS)
  Daytona Beach, FL, May 2025.
• Identifying Android Malware Families Using Android-Oriented Metrics
  William Blanc, Lina Hashem, Karim Elish, and Hussain Almohri
  Proceedings of the IEEE International Conference on Big Data (Big Data)
  Los Angeles, CA, December 2019.
• Machine Learning-based Prediction of Prolonged Length of Stay in Newborns
  Brandon Thompson, Karim Elish, and Robert Steele
  Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
  Orlando, FL, December 2018.
• Enabling Smart Cities Through V2X Communication
  Mert Aydin, Mohammad Samarah, and Karim Elish
  Proceedings of the IEEE International Conference on Computer and Communications (ICCC)
  Chengdu, China, December 2018.
• BetterChoice: A Migraine Drug Recommendation System Based on Neo4J
  Benjamin Stark, Constanze Knahl, Mert Aydin, Mohammad Samarah, and Karim Elish
  Proceedings of the IEEE International Conference on Computational Intelligence and Applications (ICCIA)
  Beijing, China, September 2017.
• Prioritized Analysis of Inter-App Communication Risks
  Fang Liu, Haipeng Cai, Gang Wang, Danfeng Yao, Karim Elish, and Barbara Ryder
  Proceedings of the ACM Conference on Data and Application Security and Privacy (CODASPY)
  Scottsdale, AZ, March 2017 (poster paper).
• MR-Droid: A Scalable and Prioritized Analysis of Inter-App Communication Risks
  Fang Liu, Haipeng Cai, Gang Wang, Danfeng Yao, Karim Elish, and Barbara Ryder
  Proceedings of the IEEE Security and Privacy Workshops (SPW), Mobile Security Technologies (MoST), in conjunction with the IEEE Symposium on Security and Privacy (IEEE S&P)
  San Jose, CA, May 2017.
• On the Need of Precise Inter-App ICC Classification for Detecting Android Malware Collusions
  Karim Elish, Danfeng Yao, and Barbara Ryder
  Proceedings of the IEEE Security and Privacy Workshops (SPW), Mobile Security Technologies (MoST), in conjunction with the IEEE Symposium on Security and Privacy (IEEE S&P)
  San Jose, CA, May 2015.
• High Precision Screening for Android Malware using Dimensionality Reduction
  Britton Wolfe, Karim Elish, and Danfeng Yao
  Proceedings of the 13th IEEE International Conference on Machine Learning and Applications (ICMLA)
  Detroit, MI, December 2014.
• Comprehensive Behavior Profiling for Proactive Android Malware Detection
  Britton Wolfe, Karim Elish, and Danfeng Yao
  Proceedings of the 17th International Information Security Conference (ISC)
  Hong Kong, October 2014.
• Device-Based Isolation for Securing Cryptographic Keys
  Karim Elish, Yipan Deng, Danfeng Yao, and Dennis Kafura
  Proceedings of the 3rd International Symposium on Internet of Ubiquitous and Pervasive Things (IUPT), Procedia Computer Science (Elsevier)
  Halifax, Canada, June 2013.
• User-Centric Dependence Analysis for Identifying Malicious Mobile Apps
  Karim Elish, Danfeng Yao, and Barbara Ryder
  Proceedings of the IEEE Security and Privacy Workshops (SPW), Mobile Security Technologies (MoST), in conjunction with the IEEE Symposium on Security and Privacy (IEEE S&P)
  San Jose, CA, May 2012.
• Investigating the Effect of Refactoring on Software Testing Effort
  Karim Elish and Mohammad Alshayeb
  Proceedings of the 16th IEEE Asia-Pacific Software Engineering Conference (APSEC)
  Penang, Malaysia, December 2009.
• Application of TreeNet in Predicting Object-Oriented Software Maintainability: A Comparative Study
  Mahmoud Elish and Karim Elish
  Proceedings of the 13th IEEE European Conference on Software Maintenance and Reengineering (CSMR)
  Kaiserslautern, Germany, March 2009.

Refereed Posters and Abstracts

• Towards Intelligent Detection of Android Remote Access Trojans (RATs)
  Nesreen Dalhy and Karim Elish
  10th North American IEOM Conference on Industrial Engineering and Operations Management, Computer Science Track
  Orlando, FL, June 2025.
  Nesreen Dalhy: 2nd Place in Master’s Thesis Competition
• Evaluating the Capabilities of LLMs in Security Analysis for Mobile Applications
  Joyce Champie and Karim Elish
  10th North American IEOM Conference on Industrial Engineering and Operations Management, Computer Science Track
  Orlando, FL, June 2025.
  Joyce Champie: 1st Place in Poster Competition
• Inter-Component and Inter-App Communication Analysis in Android for Malware Detection
  Karim Elish, Danfeng Yao, and Barbara Ryder
  9th Showcase of the Security and Software Engineering Research Center (S2ERC)
  Washington, DC, May 2014.
• User-Intention Based Program Analysis for Android Security
  Karim Elish, Danfeng Yao, and Barbara Ryder
  2nd Annual Graduate Student Poster Showcase, Computer Science Department, Virginia Tech
  April 2014.
  Best Poster Award
• User-Intention Based Android Malware Detection
  Karim Elish, Danfeng Yao, Barbara Ryder, and Xuxian Jiang
  22nd USENIX Security Symposium
  Washington, DC, August 2013.
• DataGuard: A Mobile System for Securing Ultra-Sensitive Information
  Karim Elish, Yipan Deng, Danfeng Yao, and Dennis Kafura
  28th Annual Graduate Research Symposium, Virginia Tech
  March 2012.
  1st Place Poster Award
• User-Centric Dependence Analysis in Programs for Identifying Malware
  Karim Elish, Danfeng Yao, and Barbara Ryder
  4th Showcase of the Security and Software Engineering Research Center (S2ERC)
  Iowa, November 2011.