Mert Nakip

Orcid: 0000-0002-6723-6494

According to our database1, Mert Nakip authored at least 27 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network.
CoRR, 2023

Online Self-Supervised Learning in Machine Learning Intrusion Detection for the Internet of Things.
CoRR, 2023

Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks.
CoRR, 2023

IoT Network Cybersecurity Assessment With the Associated Random Neural Network.
IEEE Access, 2023

Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection.
Proceedings of the 31st International Symposium on Modeling, 2023

Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

Real-Time Cyberattack Detection with Offline and Online Learning.
Proceedings of the 29th IEEE International Symposium on Local and Metropolitan Area Networks, 2023

2022
Improving Massive Access to IoT Gateways.
Perform. Evaluation, 2022

Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022

Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things.
J. Netw. Comput. Appl., 2022

Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds.
IEEE Access, 2022

Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices.
IEEE Access, 2022

G-Networks Can Detect Different Types of Cyberattacks.
Proceedings of the 30th International Symposium on Modeling, 2022

Engagement Detection with Multi-Task Training in E-Learning Environments.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview.
Proceedings of the 18th International Conference on the Design of Reliable Communication Networks, 2022

2021
An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things.
IEEE Access, 2021

Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection.
IEEE Access, 2021

Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Randomization of Data Generation Times Improves Performance of Predictive IoT Networks.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem.
Proceedings of the 29th International Symposium on Modeling, 2021

MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network.
Proceedings of the IEEE Global Communications Conference, 2021

Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning.
Proceedings of the International Conference on Computer, 2021

2020
A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT.
IEEE Internet Things J., 2020

Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak.
CoRR, 2020

Multi-Channel Joint Forecasting-Scheduling for the Internet of Things.
IEEE Access, 2020

2019
Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication.
Proceedings of the 2019 4th International Conference on Cloud Computing and Internet of Things, 2019


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