Publications

Research Impact

Citation summary from Google Scholar

Google Scholar
1,790Total citations
690Since 2021

Journal Publications

  • Security Risks in Wearable Mobile Applications
    [IC 2026]
    Sebastian Siedler, Mohamed Sylla, and Karim Elish
    IEEE Internet Computing, accepted, September 2026. To appear.
  • Large Language Models for Malware Detection: A Systematic Review, Taxonomy, and Open Challenges
    [Access 2026]
    Joyce Champie and Karim Elish
    IEEE Access, vol. 14, pp. 52734-52752, April 2026.
  • RepackDroid: An Efficient Detection Model for Repackaged Android Applications
    [Information 2025]
    Tito Leadon and Karim Elish
    Information, vol. 16, no. 12, Article 1075, December 2025.
  • Lightweight, Effective Detection and Characterization of Mobile Malware Families
    [TC 2022]
    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
    [IJIES 2021]
    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
    [SCN 2020]
    Hussain Almohri, M. Almutawa, M. Alawadh, and Karim Elish
    Security and Communication Networks (SCN), 2020.
  • Identifying Mobile Inter-App Communication Risks
    [TMC 2020]
    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
    [C&S 2015]
    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
    [JSW 2012]
    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
    [AJSE 2011]
    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
    [JSS 2008]
    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

Conferences & Workshops Publications

  • When LLMs Say Secure: An Empirical Study of False Assurance in Android Vulnerability Detection
    [ICSE 2027]
    Joyce Champie and Karim Elish
    Proceedings of the 49th IEEE/ACM International Conference on Software Engineering (ICSE) Dublin, Ireland · April 2027.
    Direct Acceptance Rate: 5.0% (119/2,375)
  • STALKER: Composed Quasi-Identifiers and LLM-Amplified Behavioral Leakage in Anonymized
    Marketplace Data
    [IWSPA 2026]
    A. Dmytryk, S. El-Yaagoubi, L. Batista, P. Kouterguine, S. Gerken, A. 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
    [ICSA 2026]
    Mohamed Sylla and Karim Elish
    Proceedings of the 23rd IEEE International Conference on Software Architecture (ICSA-Companion) Amsterdam, Netherlands · June 2026.
    Distinguished Paper Award Candidate
  • Automated Reproduction of Android Application Bugs with LLMs: Are We There Yet?
    [ICST 2026]
    Dennis Carey, Karim Elish, and Paniz Abedin
    Proceedings of the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST) Daejeon, South Korea · May 2026.
  • AndroMetric: Bridging Multi-Dimensional Software Metrics and Mobile Application Security
    [MSR 2026]
    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
    [MSR 2026]
    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
    [FORGE 2026]
    Sebastian Siedler and Karim Elish
    Proceedings of the 3rd IEEE/ACM International Conference on AI Foundation Models and Software Engineering (FORGE) Rio de Janeiro, Brazil · April 2026.
  • High-Accuracy Android Ransomware Detection Using SMALI Code-Based Analysis
    [ACDSA 2025]
    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
    [ASEE 2025]
    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
    [SERA 2025]
    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
    [FLAIRS 2025]
    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
    [BigData 2019]
    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
    [ICMLA 2018]
    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
    [ICCC 2018]
    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
    [ICCIA 2017]
    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
    [CODASPY 2017]
    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
    [SPW 2017]
    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
    [SPW 2015]
    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
    [ICMLA 2014]
    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
    [ISC 2014]
    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
    [IUPT 2013]
    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
    [SPW 2012]
    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
    [APSEC 2009]
    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
    [CSMR 2009]
    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)
    [IEOM 2025]
    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
    [IEOM 2025]
    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
    [S2 ERC 2014]
    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
    [VT-CS 2014]
    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
    [USENIX Sec 2013]
    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
    [VT-CS 2012]
    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
    [S2 ERC 2011]
    Karim Elish, Danfeng Yao, and Barbara Ryder
    4th Showcase of the Security and Software Engineering Research Center (S2ERC) Iowa, November 2011.