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Mert Nakıp
Mert Nakıp
Andere namenMert Nakip
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Geverifieerd e-mailadres voor iitis.pl - Homepage
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MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network
M Nakip, E Gelenbe
IEEE Globecom 2021, 1-6, 2021
292021
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
282020
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
222019
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
192019
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
172021
Multi-channel joint forecasting-scheduling for the Internet of Things
V Rodoplu, M Nakip, R Qorbanian, DT Eliiyi
Ieee Access 8, 217324-217354, 2020
172020
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection
M Nakip, C Güzelíş, O Yildiz
IEEE Access 9, 84204-84216, 2021
152021
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
152021
Traffic based sequential learning during botnet attacks to identify compromised iot devices
E Gelenbe, M Nakıp
IEEE Access 10, 126536-126549, 2022
142022
Botnet Attack Detection with Incremental Online Learning
M Nakip, E Gelenbe
International ISCIS Security Workshop, 2022
142022
Improving massive access to iot gateways
E Gelenbe, M Nakıp, T Czachórski
Performance Evaluation 157, 102308, 2022
112022
Multi-sensor fire detector based on trend predictive neural network
M Nakıp, C Güzeliş
2019 11th International Conference on Electrical and Electronics Engineering …, 2019
112019
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
102021
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
92022
G-networks can detect different types of cyberattacks
E Gelenbe, M Nakɩp
2022 30th International Symposium on Modeling, Analysis, and Simulation of …, 2022
82022
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
72022
Mitigating the Massive Access Problem in the Internet of Things
E Gelenbe, M Nakıp
International ISCIS Security Workshop, 2022
62022
The IoTAC software security-by-design platform: Concept, challenges, and preliminary overview
M Siavvas, E Gelenbe, D Tsoukalas, I Kalouptsoglou, M Mathioudaki, ...
2022 18th International Conference on the Design of Reliable Communication …, 2022
52022
Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning
E Cakan, A Sahin, M Nakip, V Rodoplu
IEEE 7th World Forum on Internet of Things, 1-6, 2021
52021
Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things
M Nakip, A Helva, C Güzelis, V Rodoplu
IEEE 7th World Forum on Internet of Things, 2021
52021
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Artikelen 1–20