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Mert Nakıp
Mert Nakıp
Other namesMert Nakip
Assistant Professor, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Verified email at iitis.pl - Homepage
Title
Cited by
Cited by
Year
MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network
M Nakip, E Gelenbe
IEEE Globecom 2021, 1-6, 2021
382021
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
322020
Traffic based sequential learning during botnet attacks to identify compromised iot devices
E Gelenbe, M Nakıp
IEEE Access 10, 126536-126549, 2022
292022
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection
M Nakip, C Güzelíş, O Yildiz
IEEE Access 9, 84204-84216, 2021
262021
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
252019
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
222021
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
212019
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
202023
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
202022
Multi-channel joint forecasting-scheduling for the Internet of Things
V Rodoplu, M Nakip, R Qorbanian, DT Eliiyi
Ieee Access 8, 217324-217354, 2020
192020
Botnet Attack Detection with Incremental Online Learning
M Nakip, E Gelenbe
International ISCIS Security Workshop, 2022
172022
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
172021
Multi-sensor fire detector based on trend predictive neural network
M Nakıp, C Güzeliş
2019 11th International Conference on Electrical and Electronics Engineering …, 2019
162019
Improving massive access to IoT gateways
E Gelenbe, M Nakıp, T Czachórski
Performance Evaluation 157, 102308, 2022
142022
Online Self-Supervised Deep Learning for Intrusion Detection Systems
M Nakıp, E Gelenbe
IEEE Transactions on Information Forensics and Security 19, 5668 - 5683, 2024
11*2024
Decentralized online federated g-network learning for lightweight intrusion detection
M Nakip, BC Gül, E Gelenbe
2023 31st International Symposium on Modeling, Analysis, and Simulation of …, 2023
112023
G-networks can detect different types of cyberattacks
E Gelenbe, M Nakɩp
2022 30th International Symposium on Modeling, Analysis, and Simulation of …, 2022
112022
Iot network cybersecurity assessment with the associated random neural network
E Gelenbe, M Nakip
IEEE Access, 2023
102023
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
Real-time cyberattack detection with offline and online learning
E Gelenbe, M Nakip
2023 IEEE 29th International Symposium on Local and Metropolitan Area …, 2023
92023
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