Mert Nakip

2026

Nakip M.; Kelesoglu N.; Mert T.; Güzeliş C.; Self-Supervised Online Learning Algorithm for rTPNN to Reduce False Alarms in Fire Detection; Knowledge-Based Systems; 2026

2024

Nakip M.; Analysis of the QoS Prediction via Recurrent Trend Predictive Neural Network under Low-Rate DoS Attacks; The 10th International Conference on Next Generation Computing; 2024
Nakip M.; Gelenbe E.; An Associated Random Neural Network Detects Intrusions and Estimates Attack Graphs; 32nd International Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS); 2024
Gelenbe E.; Nakip M.; Siavvas M.; System Wide Vulnerability and Trust in Multi-Component Communication System Software; IEEE Network ; 2024
Nasereddin M.; Nakip M.; Gelenbe E.; Deep Learning Intrusion Detection and Mitigation of DoS Attacks; 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS24); 2024
Gelenbe E.; Gül B.; Nakip M.; DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles  ; Internet of Things; 2024
Gelenbe E.; Nakip M.; Siavvas M.; System-wide vulnerability of multi-component software; Computers & Industrial Engineering; 2024
Nakip M.; Kelesoglu N.; Güzeliş C.; Fire Detection and Risk Assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization; Applied Soft Computing; 2024
Bulucu P.; Nakip M.; Güzeliş C.; Multi-Sensor E-Nose based on Online Transfer Learning Trend Predictive Neural Network; IEEE Access; 2024
Nakip M.; Gelenbe E.; Online Self-Supervised Deep Learning for Intrusion Detection Systems; IEEE Transactions on Information Forensics and Security; 2024
Nakip M.; Gül B.; Gelenbe E.; Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection; Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS); 2024

2023

Gelenbe E.; Nakip M.; IoT Network Cybersecurity Assessment with the Associated Random Neural Network; IEEE Access; 2023
Nasereddin M.; Nakip M.; Gelenbe E.; Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed; The 48th IEEE Conference on Local Computer Networks; 2023
Nakip M.; Çopur O.; Biyik E.; Güzeliş C.; Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network; Applied Energy; 2023
Gelenbe E.; Nakip M.; Real-Time Cyberattack Detection with Offline and Online Learning; IEEE International Symposium on Local and Metropolitan Area Networks; 2023

2022

Gelenbe E.; Nakip M.; Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices; IEEE Access; 2022
Nakip M.; Helva A.; Güzeliş C.; Rodoplu V.; MOSAL: A Subspace Based Forecasting Algorithm for Throughput Maximization in IoT Networks; IEEE Sensors Journal; 2022
Gelenbe E.; Nakip M.; G-Networks Can Detect Different Types of Cyberattacks; 2022 Mascots: 30th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems; 2022
Dayı A.; Rodoplu V.; Nakip M.; Pehlivan B.; Güzeliş C.; 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); 2022
Gelenbe E.; Nakip M.; Czachórski T.; Improving Massive Access to IoT Gateways; Performance Evaluation; 2022
Nakip M.; Gül B.; Rodoplu V.; Güzeliş C.; Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds; IEEE Access; 2022
Siavvas M.; Gelenbe E.; Tsoukalas D.; Kalouptsoglou I.; Mathioudaki M.; Nakip M.; Kehagias D.; Tzovaras D.; The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview; 18th International Conference on the Design of Reliable Communication Networks (DRCN); 2022
Nakip M.; Gelenbe E.; Botnet Attack Detection with Incremental Online Learning; EuroCybersec 2021; 2022
Gelenbe E.; Nakip M.; Marek D.; Czachórski T.; Mitigating the Massive Access Problem in the Internet of Things; EuroCybersec; 2022
Çopur O.; Nakip M.; Scardapane S.; Slowack J.; Engagement Detection with Multi-Task Training in E-Learning Environments; International Conference on Image Analysis and Processing (ICIAP); 2022