Secure and Intelligent Systems Research Group

• Secure and Smart Internet of Things (IoT)

• Secure and Smart Cyber Physical Systems (CPS)

• Secure and Smart Health Care Systems

• Privacy Preserving Smart Grid Communications

• Optimal Resources Allocation in 5G and Beyond Networks

1. 1. Costain Nachuma, Mostafa M. Fouda, and Minhaz F. Zibran, “Security and Privacy for LLMs and LMMs Across Key Sectors: A Literature Survey,” Proc. of the 2025 International Conference on Information Technology: New Generations (ITNG 2025), Las Vegas, Nevada, USA, Apr. 27–29, 2025.

   2. Quazi Rian Hasnaine, Cindy Hu, Mohamed I. Ibrahem, and Mostafa M. Fouda, “A Comprehensive Survey of Model Extraction Attacks: Current Trends, Defenses, and Future Directions,” Proc. of the  2025 1st IEEE Conference on Secure and Trustworthy CyberInfrastructure for IoT and Microelectronics (SaTC 2025), Fairborn, Ohio, USA, Feb. 25–27, 2025.

   3. Chowdhury Tasnuva Hazera, Mohamed I. Ibrahem, and Mostafa M. Fouda, “Exploring Few-Shot Learning for CPS Anomaly Detection: A Path Toward Smart Grid Applications,” Proc. of the  2025 1st IEEE Conference on Secure and Trustworthy CyberInfrastructure for IoT and Microelectronics (SaTC 2025), Fairborn, Ohio, USA, Feb. 25–27, 2025.

   4. Hamza Kaddour, Israel G. Olaveson, Cameron J. Krome, and Mostafa M. Fouda, “Altering 5G Network Parameters using Deep Reinforcement Learning to Optimize QoS and Security,” Proc. of the 2023 IEEE Virtual Conference on Communications (IEEE VCC 2024), Virtual Conference, Dec. 3–5, 2024. 

   5. Barrett Durtschi, Mostafa M. Fouda, and Andrew Chrysler, “AI-Driven Error Correction for KNN-Based RFID Localization,” Proc. of the 2024 IEEE International Conference on Internet of Things and Intelligence Systems (IEEE IoTaIS 2024), Bali, Indonesia, Nov. 28–30, 2024. (URL)

   6. Tanzim Mostafa, Mohamed I. Ibrahem, and Mostafa M. Fouda, “Unraveling Model Inversion Attacks: A Survey of Machine Learning Vulnerabilities,” Proc. of the 2024 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings 2024), Mt. Pleasant, MI, USA, Sept. 7–8, 2024. (URL)

   7. Shijon Das, Mohamed I. Ibrahem, and Mostafa M. Fouda, “A Survey on the Landscape of Machine Learning Solutions for Detecting Phishing Attacks,” Proc. of the 2024 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings 2024), Mt. Pleasant, MI, USA, Sept. 7–8, 2024. (URL)

   8. Arifa I. Champa, Md Fazle Rabbi, Mostafa M. Fouda, and Minhaz F. Zibran, “Deep Enough? On the Effectiveness of Deep Learning in Phishing Email Detection,” Proc. of the 2024 2nd IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings 2024), Mt. Pleasant, MI, USA, Sept. 7–8, 2024. (URL)

   9. Shaibal Das and Mostafa M. Fouda, “Drone Detection: Countering Optical Evasion Strategies Using Deep Learning,” Proc. of the 2024 2nd IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings 2024), Mt. Pleasant, MI, USA, Sept. 7–8, 2024. (URL)

   10. Antora Dev, Yomna Mohamed, Ahmed Hamed, Yidong Xia, Robert Seifert, and Mostafa M. Fouda, “Automated Phenotyping of Herbaceous Biomass Using U-NET Architecture for µ-CT Images Segmentation,” Proc. of the 2024  2nd IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings 2024), Mt. Pleasant, MI, USA, Sept. 7–8, 2024. (URL)

   11. Thomas J. Kopcho, Mostafa M. Fouda, and Cameron J. Krome, “A Lightweight AI Model for Anomaly Detection in Wireless Networks,” Proc. of the 2024  2nd IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings 2024), Mt. Pleasant, MI, USA, Sept. 7–8, 2024. (URL)

   12. Thomas J. Kopcho, Mostafa M. Fouda, Cameron J. Krome, Anna T. Quach, and  Israel G. Olaveson, “Analyzing the Impact of Security Measures on Wi-Fi Quality of Service,” Proc. of the 2024  2nd IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings 2024), Mt. Pleasant, MI, USA, Sept. 7–8, 2024. (URL)

   13. Antora Dev, Mostafa M. Fouda, Leslie Kerby, and Zubair Md Fadlullah, “Advancing Malaria Identification From Microscopic Blood Smears Using Hybrid Deep Learning Frameworks,” IEEE Access, vol. 12, pp. 71705–71715, May 2024. (URL)(PDF)

   14. Hamza Kaddour, Shaibal Das, Rishikesh Bajgai, Amairanni Sanchez, Jason Sanchez, Steve C. Chiu, Ahmed F. Ashour, and Mostafa M. Fouda, “Evaluating Classification Methods in Predicting Intrusion Detection Systems in IoT,” Proc. of the 2024 IEEE International Opportunity Research Scholars Symposium (IEEE ORSS 2024), Atlanta, GA, USA, Apr.–Jun., 2024.

   15. Shijon Das, Mostafa M. Fouda, and Mohammad G. Abdo, “Short-Term Load Forecasting Using GRU-LGBM Fusion,” Proc. of the 2024 International Conference on Smart Communications and Networking (SmartNets 2024), Harrisonburg, VA, USA, May 28–30, 2024. (URL)

   16. Tanzim Mostafa, Mostafa M. Fouda, and Mohammad G. Abdo, “Short-Term Load Forecasting Employing Recurrent Neural Networks,” Proc. of the 2024 International Conference on Smart Communications and Networking (SmartNets 2024), Harrisonburg, VA, USA, May 28–30, 2024. (URL)

   17. Ahmed F. Ashour, Mostafa M. Fouda, Zubair Md Fadlullah, and Mohamed I. Ibrahem, “Enhancing Diabetes Prediction Based on Pair-Wise Ensemble Learning Model Selection,” Proc. of the 2024 International Conference on Smart Communications and Networking (SmartNets 2024), Harrisonburg, VA, USA, May 28–30, 2024. (URL)

   18. Ahmed F. Ashour, Mostafa M. Fouda, Andrew Chrysler, Steve C. Chiu, and Ashraf Ramadan, “Investigations and Characterization of a New FM Active Receiving Antenna for Modern Vehicles Applications,” Proc. of the 2024 7th International Conference on Electronics Technology (ICET 2024), Chengdu, China, May 17–20, 2024. (Best Oral Presentation)

   19. Ahmed F. Ashour, Mostafa M. Fouda, Zubair Md Fadlullah, and Mohamed I. Ibrahem, “Optimized Neural Networks for Diabetes Classification Using Pima Indians Diabetes Database,” Proc. of the 2024 International Conference on Computing and Machine Intelligence (ICMI 2024), Mt. Pleasant, MI, USA, Apr. 13–14, 2024. (URL)

   20. Antora Dev, Mostafa M. Fouda, and Zubair Md Fadlullah, “Data-Driven Model for Improving MEG Epileptic Spike Detection,” Proc. of the 2024 International Conference on Computing and Machine Intelligence (ICMI 2024), Mt. Pleasant, MI, USA, Apr. 13–14, 2024. (URL)

   21. Ahmed F. Ashour and Mostafa M. Fouda, “Advancements and Challenges in AI Applications for Movement Disorders,” Proc. of the 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IEEE IoTaIS 2023), Bali, Indonesia, Nov. 28–30, 2023. (URL)

   22. Antora Dev, Mostafa M. Fouda, and Zubair Md Fadlullah, “Automated EEG Epileptic Seizure Detection Exploiting Continuous Morlet Wavelet Transform Scalograms and Hybrid Deep Learning Models,” Proc. of the 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IEEE IoTaIS 2023), Bali, Indonesia, Nov. 28–30, 2023. (URL)

   23. Ahmed F. Ashour, Calvin Condie, Cade Pocock, Steve C. Chiu, Andrew Chrysler, and Mostafa M. Fouda, “A Spectrum Injection-Based Approach for Malware Prevention in UHF RFID Systems,” IEEE Access, vol. 11, pp. 97786–97806, Sept. 2023. (URL)(PDF)

   24. Antora Dev, Mostafa M. Fouda, Leslie Kerby, and Zubair Md Fadlullah, “On Improving Malaria Parasite Detection from Microscopic Images: A Comparative Analytics of Hybrid Deep Learning Models,” Proc. of the 2023 International Conference on Information and Communication Technology (ICoICT 2023), Melaka, Malaysia. Aug. 23–24, 2023.

   25. Ahmed F. Ashour, Calvin Condie, Cade Pocock, Steve C. Chiu, Andrew Chrysler, and Mostafa M. Fouda, “Spectrum-based Malware Detection for RFID Memory Banks in LF, HF, and UHF Bands,” Proc. of the 2023 IEEE International Opportunity Research Scholars Symposium (IEEE ORSS 2023), Atlanta, GA, USA, Apr. 23–Jun. 02, 2023. (URL)

   26. Mostafa M. Fouda, Sadman Sakib, Zubair Md Fadlullah, Nidal Nasser, and Mohsen Guizani, “A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case,” IEEE Network, vol. 36, no. 6, pp. 38–45, Nov./Dec. 2022. (URL)

   27. Mostafa M. Fouda, Sherief Hashima, Sadman Sakib, Zubair Md Fadlullah, Kohei Hatano, and Xuemin (Sherman) Shen, “Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach,” IEEE Transactions on Vehicular Technology, vol. 71, no. 6, pp. 6853–6858, Jun. 2022. (URL)(PDF)

   28. Ahmed F. Ashour and Mostafa M. Fouda, “AI-Based Approaches for Handover Optimization in 5G New Radio and 6G Wireless Networks,” Proc. of the 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE 2023), Virtual Conference, Feb. 16–17, 2023. [Best paper award]

   29. Biraj Shakya, Mostafa M. Fouda, Steve C. Chiu, and Zubair Md Fadlullah, “A Circuit-Embedded Reservoir Computer for Smart Noise Reduction of MCG Signals,” Proc. of the 2021 IEEE International Conference on Internet of Things and Intelligence Systems (IEEE IoTaIS 2021), Virtual Conference, Nov. 23–24, 2021. (URL)(PDF)

1. 1. Opportunity for MS/PhD study with a full scholarship under my supervision is available at the Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Idaho Falls, ID, USA. Research directions include (but not limited to): Applied Artificial Intelligence, IoT Security and Privacy; Privacy-Preserving Machine Learning; Smart Health Care Security and Privacy; and 6G Communications. Requirements include: (1) Master's degree in Computer Science, Computer Engineering, or a related discipline; (2) High GPA (above 3.5); (3) Good programming and mathematical analysis/optimization skills; and (4) Good TOEFL/IELTS scores.

   2. Interested students, please send your CV, transcript(s), and your English proficiency  scores to: mfouda@isu.edu

   3. Potential candidate(s) will be contacted for an interview over Zoom, particularly for verifying domain knowledge in the undergraduate project and/or Masters thesis, and programming skills.

   4. Note: Applicants not fulfilling the aforementioned requirements will be deemed not serious, and will not be responded to.