Published in Turkish Autonomous Robots Conference, 2014
Undergraduate capstone project demonstrating an autonomous cargo and mail delivery robot, presented at the Turkish Autonomous Robots Conference.
Recommended citation: Ural, O. (2014). Autonomous Cargo and Mail Delivery. Turkish Autonomous Robots Conference, Ankara, Turkey.
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Published in Technical Report (ResearchGate), 2016
Technical report on a secure proxy architecture for cloud-based services.
Recommended citation: Ural, O. (2016). "Secure Proxy on Cloud." Technical report. DOI: 10.13140/RG.2.2.24058.08649.
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Published in Master's Thesis, 2019
Master’s thesis introducing NLP methods for detecting cyber-security events in Turkish social media and news streams, advised by Prof. Cengiz Acartürk and the basis of the later ICISSP 2021 paper.
Recommended citation: Ural, O. (2019). Automatic Detection of Cyber Security Events from Turkish Twitter Stream and Turkish Newspaper Data. Master's Thesis, Middle East Technical University, Ankara, Turkey.
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Published in Proceedings of the 7th International Conference on Information Systems Security and Privacy (ICISSP), 2021
NLP-based pipeline for automated detection of cybersecurity incidents from Turkish Twitter and news streams using TF-IDF and ensemble classifiers.
Recommended citation: Ural, O. and Acartürk, C. (2021). "Automatic Detection of Cyber Security Events from Turkish Twitter Stream and Newspaper Data." In Proceedings of the 7th International Conference on Information Systems Security and Privacy (ICISSP), pp. 66-76. DOI: 10.5220/0010201600660076.
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Published in IEEE Access, 2023
Comprehensive survey of blockchain-enhanced machine learning: consensus-driven data provenance, federated learning on-chain, and incentive mechanisms across 120+ papers.
Recommended citation: Ural, O. and Yoshigoe, K. (2023). Survey on Blockchain-Enhanced Machine Learning. IEEE Access, pp. 145331-145362. DOI: 10.1109/ACCESS.2023.3344669.
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Published in IEEE Access, 2024
Feature-based model watermarking scheme that binds ownership proofs to internal activations, surviving fine-tuning and transfer attacks on Proof-of-Learning.
Recommended citation: Ural, O. and Yoshigoe, K. (2024). Enhancing Security of Proof-of-Learning against Spoofing Attacks using Feature-Based Model Watermarking. IEEE Access. DOI: 10.1109/ACCESS.2024.3489776.
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Published in Doctoral Dissertation, 2025
Doctoral research developing SecurePoL, a dual-layer framework coupling Proof-of-Learning trajectory logs with three orthogonal watermarking strategies.
Recommended citation: Ural, O. (2025). Enhancing Proof-of-Learning Security Against Spoofing Attacks Using Model Watermarking. Doctoral dissertation, Embry-Riddle Aeronautical University.
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Published in IEEE Access, 2025
Dual-layer framework coupling immutable Proof-of-Learning logs with three watermarking strategies, so verification succeeds only when both the training trajectory and the watermark are consistent.
Recommended citation: Ural, O. and Yoshigoe, K. (2025). SecurePoL: Integration of Watermarking With Proof-of-Learning to Enhance Security Against Spoofing Attacks. IEEE Access, vol. 13, pp. 213067-213091. DOI: 10.1109/ACCESS.2025.3642198.
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