Fatih Kurugollu
| Name | Fatih Kurugollu |
|---|---|
| Job title | Associate Lecturer in Cyber Security |
| Research institute | College of Science and Engineering |
Research outputs
Front and Back Views Gait Recognitions Using EfficientNets and EfficientNetV2 Models Based on Gait Energy Image
Tengku Mohd Afendi, Zulcaffle,, Kurugollu, F., Kuryati, K., Joseph, A. and Bong, D. L. 2023. Front and Back Views Gait Recognitions Using EfficientNets and EfficientNetV2 Models Based on Gait Energy Image. International Journal of Computing and Digital Systems. 2, pp. 1-10. https://doi.org/10.12785/ijcds/XXXXXXDeep labeller: automatic bounding box generation for synthetic violence detection datasets
Nadeem, M., Kurugollu, F., Saravi, S., Atlam, H. and Franqueira, V. 2023. Deep labeller: automatic bounding box generation for synthetic violence detection datasets. Multimedia Tools and Applications. pp. 1-18. https://doi.org/10.1007/s11042-023-15621-5Explaining deep neural networks: A survey on the global interpretation methods
Saleem, R., Yuan, B., Kurugollu, F., Anjum, A. and Liu, L. 2022. Explaining deep neural networks: A survey on the global interpretation methods. Neurocomputing. 513, pp. 165-180. https://doi.org/10.1016/j.neucom.2022.09.129A Novel Security Methodology for Smart Grids: A Case Study of Microcomputer-Based Encryption for PMU Devices
Varan, Metin, Akgul, Akif, Kurugollu, Fatih, Sansli, Ahmet and Smith, K. 2021. A Novel Security Methodology for Smart Grids: A Case Study of Microcomputer-Based Encryption for PMU Devices. Complexity. 2021, pp. 1-15. https://doi.org/10.1155/2021/2798534NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles
Ahmad, F., Kurugollu, Fatih, Kerrache, Chaker Abdelaziz, Sezer, Sakir and Liu, Lu 2021. NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2021.3049189Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks
Saleem, Rabia, Yuan, Bo, Kurugollu, Fatih and Anjum, Ashiq 2020. Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks. IEEE. https://doi.org/10.1109/ucc48980.2020.00070Severity Estimation of Plant Leaf Diseases Using Segmentation Method
Entuni, Chyntia Jaby, Afendi Zulcaffle, Tengku Mohd, Kipli, Kuryati and Kurugollu, Fatih 2020. Severity Estimation of Plant Leaf Diseases Using Segmentation Method. Applied Science and Engineering Progress. 14 (1), pp. 108-119. https://doi.org/10.14416/j.asep.2020.11.004CRT-BIoV: A cognitive radio technique for blockchain-enabled internet of vehicles
Rathee, Geetanjali, Ahmad, F., Kurugollu, Fatih, Azad, Muhammad, Iqbal, Razi and Imran, Muhammad 2020. CRT-BIoV: A cognitive radio technique for blockchain-enabled internet of vehicles. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2020.3004718Vehicular sensor networks: Applications, advances and challenges
Kurugollu, Fatih, Ahmed, Syed Hassan, Hussain, Rasheed, Ahmad, F. and Kerrache, Chaker Abdelaziz 2020. Vehicular sensor networks: Applications, advances and challenges. Sensors. https://doi.org/10.3390/s20133686MARINE: Man-in-the-middle attack resistant trust model IN connEcted vehicles
Ahmad, F., Kurugollu, Fatih, Adnane, Asma, Hussain, Rasheed and Hussain, Fatima 2020. MARINE: Man-in-the-middle attack resistant trust model IN connEcted vehicles. IEEE Internet of Things. https://doi.org/10.1109/JIOT.2020.2967568Persation: an IoT based personal safety prediction model aided solution
Alofe, Olasunkanmi Matthew, Fatema, Kaniz, Azad, Muhammad Ajmal and Kurugollu, Fatih 2020. Persation: an IoT based personal safety prediction model aided solution. International Journal of Computing and Digital Systems.Towards a trusted unmanned aerial system using blockchain (BUAS) for the protection of critical infrastructure
Barka, Ezedin, Kerrache, Chaker Abdelaziz, Benkraouda, Hadjer, Shuaib, Khaled, Ahmad, F. and Kurugollu, Fatih 2019. Towards a trusted unmanned aerial system using blockchain (BUAS) for the protection of critical infrastructure. Transactions on Emerging Telecommunications Technologies. https://doi.org/10.1002/ett.3706Realization of blockchain in named data networking-based internet-of-vehicles
Ahmad, F., Kerrache, Chaker Abdelaziz, Kurugollu, Fatih and Hussain, Rasheed 2019. Realization of blockchain in named data networking-based internet-of-vehicles. IT Professional. https://doi.org/10.1109/MITP.2019.2912142A survey of deep learning solutions for multimedia visual content analysis.
Nadeem, Muhammad Shahroz, Franqueira, Virginia N. L., Zhai, Xiaojun and Kurugollu, Fatih 2019. A survey of deep learning solutions for multimedia visual content analysis. IEEE Access. https://doi.org/10.1109/ACCESS.2019.DOIA comparative analysis of trust models for safety applications in IoT-enabled vehicular networks
Ahmad, F., Adnane, Asma, Hussain, Rasheed and Kurugollu, Fatih 2019. A comparative analysis of trust models for safety applications in IoT-enabled vehicular networks. IEEE.Man-In-The-Middle attacks in Vehicular Ad-Hoc Networks: Evaluating the impact of attackers’ strategies.
Ahmad, F., Adnane, Asma, Franqueira, Virginia N. L., Kurugollu, Fatih and Liu, Lu 2018. Man-In-The-Middle attacks in Vehicular Ad-Hoc Networks: Evaluating the impact of attackers’ strategies. Sensors. 18 (11), p. 4040. https://doi.org/10.3390/s18114040Frontal view gait recognition with fusion of depth features from a time of flight camera
Afendi Tengku Mohd, Kurugollu, Fatih, Crookes, Danny, Bouridane, Ahmed and Farid, Mohsen 2018. Frontal view gait recognition with fusion of depth features from a time of flight camera. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/TIFS.2018.2870594Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory
Ahmaderaghi, Baharak, Kurugollu, Fatih, Rincon, Jesus Martinez Del and Bouridane, Ahmed 2018. Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory. IEEE Transactions on Computational Imaging. https://doi.org/10.1109/TCI.2018.2794065Digital video source identification based on green-channel photo response non-uniformity (G-PRNU)
Al-Athamneh, Mohammad, Kurugollu, Fatih, Crookes, Danny and Farid, Mohsen 2016. Digital video source identification based on green-channel photo response non-uniformity (G-PRNU). https://doi.org/10.5121/csit.2016.61105Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes
Tasdemir, Kasim, Kurugollu, Fatih and Sezer, Sakir 2016. Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes. IEEE Transactions on Image Processing. https://doi.org/10.1109/TIP.2016.2567073Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes.
Tasdemir, Kasim, Kurugollu, Fatih and Sezer, Sakir 2016. Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes. IEEE Transactions on Image Processing. https://doi.org/10.1109/TIP.2016.2567073Privacy region protection for H.264/AVC with enhanced scrambling effect and a low bitrate overhead
Wang, Yongsheng, O׳Neill, Máire, Kurugollu, Fatih and O׳Sullivan, Elizabeth 2015. Privacy region protection for H.264/AVC with enhanced scrambling effect and a low bitrate overhead. Signal Processing: Image Communication. https://doi.org/10.1016/j.image.2015.04.013Cascaded multimodal biometric recognition framework
Albesher, Badr, Kurugollu, Fatih, Bouridane, Ahmed and Baig, Asim 2013. Cascaded multimodal biometric recognition framework. IET Biometrics. https://doi.org/10.1049/iet-bmt.2012.0043996
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