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  1. Federated Large Domain Model System

    Article • Blockchain Research and Applications, September 2025, Elsevier

    F. Ozgur Catak

  2. Serverless federated learning: Decentralized spectrum sensing in heterogeneous networks

    Article • Physical Communication, June 2025, Elsevier

    F. Ozgur Catak

  3. Federated learning: Overview, strategies, applications, tools and future directions

    Article • Heliyon, October 2024, Elsevier

    F. Ozgur Catak

  4. Emerging Technologies for Privacy Preservation in Energy Systems

    Article • June 2024, ACM (Association for Computing Machinery)

    F. Ozgur Catak, David Sebastian Cardenas, F. Ozgur Catak

  5. Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  6. Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  7. Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids

    Article • Electronics, December 2023, MDPI AG

    F. Ozgur Catak

  8. A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework

    Article • Cryptography, October 2023, MDPI AG

    F. Ozgur Catak

  9. Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure

    Article • June 2023, ACM (Association for Computing Machinery)

    F. Ozgur Catak, Onur ELMA, F. Ozgur Catak

  10. Cyber-physical Hardening of the Digital Water Infrastructure

    Article • June 2023, ACM (Association for Computing Machinery)

    F. Ozgur Catak, F. Ozgur Catak

  11. Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System

    Article • Sensors, June 2023, MDPI AG

    F. Ozgur Catak

  12. An XAI approach for COVID-19 detection using transfer learning with X-ray images

    Article • Heliyon, April 2023, Elsevier

    F. Ozgur Catak

  13. Towards robust autonomous driving systems through adversarial test set generation

    Article • ISA Transactions, January 2023, Elsevier

    F. Ozgur Catak

  14. Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks

    Article • IEEE Access, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  15. Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining

    Article • International Journal of Information Security, November 2022, Springer Science + Business Media

    F. Ozgur Catak

  16. Highly Uncertain Input Rejection for AI based Cyber-Physical Systems

    Article • ACM Transactions on Software Engineering and Methodology, October 2022, ACM (Association for Computing Machinery)

    F. Ozgur Catak, F. Ozgur Catak

  17. BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models

    Article • Cryptography, July 2022, MDPI AG

    F. Ozgur Catak

  18. Closeness and uncertainty aware adversarial examples detection in adversarial machine learning

    Article • Computers & Electrical Engineering, July 2022, Elsevier

    F. Ozgur Catak

  19. Security concerns on machine learning solutions for 6G networks in mmWave beam prediction

    Article • Physical Communication, June 2022, Elsevier

    F. Ozgur Catak

  20. On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection

    Article • Electronics, January 2022, MDPI AG

    F. Ozgur Catak

  21. A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption

    Article • Future Generation Computer Systems, December 2021, Elsevier

    F. Ozgur Catak

  22. Data augmentation based malware detection using convolutional neural networks

    Article • PeerJ Computer Science, January 2021, PeerJ

    F. Ozgur Catak

  23. Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks

    Article • January 2021, Springer Science + Business Media

    F. Ozgur Catak

  24. Malicious URL Detection Using Machine Learning

    Article • January 2021, IGI Global

    F. Ozgur Catak

  25. A Privacy-Preserving Fully Homomorphic Encryption and Parallel Computation Based Biometric Data Matching

    Article • July 2020, MDPI AG

    F. Ozgur Catak

  26. Password‐based encryption approach for securing sensitive data

    Article • Security and Privacy, July 2020, Wiley

    F. Ozgur Catak

  27. Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm

    Article • Electronics, January 2020, MDPI AG

    F. Ozgur Catak

  28. Preventing Data Poisoning Attacks By Using Generative Models

    Article • November 2019, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  29. Distributed denial of service attack detection using autoencoder and deep neural networks

    Article • Journal of Intelligent & Fuzzy Systems Applications in Engineering and Technology, October 2019, IOS Press

    F. Ozgur Catak

  30. Classification of Methamorphic Malware with Deep Learning(LSTM)

    Article • April 2019, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  31. Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks

    Article • April 2019, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  32. Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms

    Article • Computer Science, January 2019, AGHU University of Science and Technology Press

    F. Ozgur Catak

  33. Two-layer malicious network flow detection system with sparse linear model based feature selection

    Article • Journal of the National Science Foundation of Sri Lanka, December 2018, Sri Lanka Journals Online (SLJOL)

    F. Ozgur Catak

  34. CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems

    Article • International Journal of Computational Intelligence Systems, January 2018, Atlantis Press

    F. Ozgur Catak

  35. Detection of attack-targeted scans from the Apache HTTP Server access logs

    Article • Applied Computing and Informatics, January 2018, Elsevier

    F. Ozgur Catak

  36. Privacy preserving extreme learning machine classification model for distributed systems

    Article • May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  37. A MapReduce-based distributed SVM algorithm for binary classification

    Article • TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, January 2016, The Scientific and Technological Research Council of Turkey

    F. Ozgur Catak

  38. Classification with boosting of extreme learning machine over arbitrarily partitioned data

    Article • Soft Computing, November 2015, Springer Science + Business Media

    F. Ozgur Catak

  39. Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data

    Article • May 2015, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  40. Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM

    Article • January 2015, Springer Science + Business Media

    F. Ozgur Catak

  41. Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data

    Article • January 2015, Springer Science + Business Media

    F. Ozgur Catak

  42. CloudSVM: Training an SVM Classifier in Cloud Computing Systems

    Article • January 2013, Springer Science + Business Media

    F. Ozgur Catak