| MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network M Nakip, E Gelenbe IEEE Globecom 2021, 1-6, 2021 | 33 | 2021 |
| A multiscale algorithm for joint forecasting–scheduling to solve the massive access problem of IoT V Rodoplu, M Nakıp, DT Eliiyi, C Güzeliş IEEE Internet of Things Journal 7 (9), 8572-8589, 2020 | 31 | 2020 |
| Comparative study of forecasting schemes for IoT device traffic in machine-to-machine communication M Nakip, BC Gül, V Rodoplu, C Güzeliş Proceedings of the 2019 4th international conference on cloud computing and …, 2019 | 23 | 2019 |
| Traffic based sequential learning during botnet attacks to identify compromised iot devices E Gelenbe, M Nakıp IEEE Access 10, 126536-126549, 2022 | 22 | 2022 |
| Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection M Nakip, C Güzelíş, O Yildiz IEEE Access 9, 84204-84216, 2021 | 22 | 2021 |
| Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem E Gelenbe, M Nakıp, D Marek, T Czachorski 29th IEEE International Symposium on the Modeling, Analysis, and Simulation …, 2021 | 19 | 2021 |
| Joint forecasting-scheduling for the Internet of Things M Nakip, V Rodoplu, C Güzeliş, DT Eliiyi 2019 ieee global conference on internet of things (gciot), 1-7, 2019 | 19 | 2019 |
| Botnet Attack Detection with Incremental Online Learning M Nakip, E Gelenbe International ISCIS Security Workshop, 2022 | 17 | 2022 |
| Multi-channel joint forecasting-scheduling for the Internet of Things V Rodoplu, M Nakip, R Qorbanian, DT Eliiyi Ieee Access 8, 217324-217354, 2020 | 17 | 2020 |
| Randomization of Data Generation Times Improves Performance of Predictive IoT Networks M Nakip, E Gelenbe 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021 | 16 | 2021 |
| Engagement detection with multi-task training in e-learning environments O Copur, M Nakıp, S Scardapane, J Slowack International Conference on Image Analysis and Processing, 411-422, 2022 | 14 | 2022 |
| Multi-sensor fire detector based on trend predictive neural network M Nakıp, C Güzeliş 2019 11th International Conference on Electrical and Electronics Engineering …, 2019 | 14 | 2019 |
| Improving massive access to IoT gateways E Gelenbe, M Nakıp, T Czachórski Performance Evaluation 157, 102308, 2022 | 12 | 2022 |
| Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network M Nakıp, O Çopur, E Biyik, C Güzeliş Applied Energy 340, 121014, 2023 | 10 | 2023 |
| G-networks can detect different types of cyberattacks E Gelenbe, M Nakɩp 2022 30th International Symposium on Modeling, Analysis, and Simulation of …, 2022 | 9 | 2022 |
| An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things M Nakip, K Karakayali, C Güzelı̇ş, V Rodoplu IEEE Access 9, 104011-104028, 2021 | 9 | 2021 |
| Real-time cyberattack detection with offline and online learning E Gelenbe, M Nakip 2023 IEEE 29th International Symposium on Local and Metropolitan Area …, 2023 | 8 | 2023 |
| Online Self-Supervised Deep Learning for Intrusion Detection Systems M Nakıp, E Gelenbe IEEE Transactions on Information Forensics and Security 19, 5668 - 5683, 2024 | 7* | 2024 |
| Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things M Nakip, E Çakan, V Rodoplu, C Güzeliş Journal of Network and Computer Applications, 103360, 2022 | 7 | 2022 |
| Mitigating the Massive Access Problem in the Internet of Things E Gelenbe, M Nakıp International ISCIS Security Workshop, 2022 | 7 | 2022 |
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