Publikacje
Found 36 results
Filters: Autor is Mert Nakip  [Clear All Filters]
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2025.   E. Gelenbe, M. Nakip, M. Siavvas, System Wide Vulnerability and Trust in Multi-Component Communication System Software. IEEE Network . 39(2)
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2024.  Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS). 
 (1.06 MB)
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2024.  Deep Learning Intrusion Detection and Mitigation of DoS Attacks. 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS24). 
 (2.84 MB)
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2024.  DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles  . Internet of Things. 28
 (2.17 MB)
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2024.  Fire Detection and Risk Assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization. Applied Soft Computing. 164
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2024.  Multi-Sensor E-Nose based on Online Transfer Learning Trend Predictive Neural Network. IEEE Access. 
 (3.93 MB)
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2024.  Online Self-Supervised Deep Learning for Intrusion Detection Systems. IEEE Transactions on Information Forensics and Security. 19
 (6.97 MB)
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2024.  System Wide Vulnerability and Trust in Multi-Component Communication System Software. IEEE Network. 
 (3.98 MB)
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2024.  System-wide vulnerability of multi-component software. Computers & Industrial Engineering. 196
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2023.  IoT Network Cybersecurity Assessment with the Associated Random Neural Network. IEEE Access. 
 (966.17 KB)
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2023.  Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. The 48th IEEE Conference on Local Computer Networks. 
 (861.42 KB)
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2023.  Real-Time Cyberattack Detection with Offline and Online Learning. IEEE International Symposium on Local and Metropolitan Area Networks. 
 (1.09 MB)
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2023.  Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. Applied Energy. 340
 (887.88 KB)
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2022.  Botnet Attack Detection with Incremental Online Learning. EuroCybersec 2021. 
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2022.  Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things. Journal of Network and Computer Applications (JNCA). 
 (1.36 MB)
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2022.  Engagement Detection with Multi-Task Training in E-Learning Environments. International Conference on Image Analysis and Processing (ICIAP). 
 (1.2 MB)
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2022.  G-Networks Can Detect Different Types of Cyberattacks. 2022 Mascots: 30th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems. 
 (1.51 MB)
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2022.  Improving Massive Access to IoT Gateways. Performance Evaluation. 
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2022.  The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview. 18th International Conference on the Design of Reliable Communication Networks (DRCN). 
 (1.33 MB)
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2022.  Mitigating the Massive Access Problem in the Internet of Things.  EuroCybersec. 
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2022.  MOSAL: A Subspace Based Forecasting Algorithm for Throughput Maximization in IoT Networks. IEEE Sensors Journal. 
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2022.  Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA). 13(2)
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2022.  Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. IEEE Access. 10
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2022.  Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices. IEEE Access. 10
 (1.74 MB)
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2021.  Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey. ASYU2021 . 
 (1.17 MB)
