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
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)
Rio de Janeiro, Brazil, April 2026. To appear.
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)
Rio de Janeiro, Brazil, April 2026. To appear.
MIRROR: A Dataset of Structural Metrics for Repackaged Android Apps
Sebastian Siedler and Karim Elish Proceedings of the 3rd ACM International Conference on AI Foundation Models and Software Engineering (FORGE)
Rio de Janeiro, Brazil, April 2026. To appear.
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.