Gelenbe E, Nakip M.  Submitted.  Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks. arXiv.  (1.86 MB)

Nakip M, Gelenbe E.  Submitted.  Online Self-Supervised Learning in Machine Learning Intrusion Detection for the Internet of Things. arXiv.  (6.78 MB)

Nakip M, Gül BCan, Gelenbe E.  In Press.  Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS).  (1.06 MB)

Gelenbe E, Nakip M.  2023.  IoT Network Cybersecurity Assessment with the Associated Random Neural Network. IEEE Access.  (966.17 KB)

Nasereddin M, Nakip M, Gelenbe E.  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)

Gelenbe E, Nakip M.  2023.  Real-Time Cyberattack Detection with Offline and Online Learning. IEEE International Symposium on Local and Metropolitan Area Networks.  (1.09 MB)

Nakip M, Çopur O, Biyik E, Güzeliş C.  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)

Nakip M, Gelenbe E.  2022.  Botnet Attack Detection with Incremental Online Learning. EuroCybersec 2021.

Nakip M, Çakan E, Rodoplu V, Güzeliş C.  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)

Çopur O, Nakip M, Scardapane S, Slowack J.  2022.  Engagement Detection with Multi-Task Training in E-Learning Environments. International Conference on Image Analysis and Processing (ICIAP).  (1.2 MB)

Gelenbe E, Nakip M.  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)

Gelenbe E, Nakip M, Czachórski T.  2022.  Improving Massive Access to IoT Gateways. Performance Evaluation.

Siavvas M, Gelenbe E, Tsoukalas D, Kalouptsoglou I, Mathioudaki M, Nakip M, Kehagias D, Tzovaras D.  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)

Gelenbe E, Nakip M, Marek D, Czachórski T.  2022.  Mitigating the Massive Access Problem in the Internet of Things. EuroCybersec.

Nakip M, Helva A, Güzeliş C, Rodoplu V.  2022.  MOSAL: A Subspace Based Forecasting Algorithm for Throughput Maximization in IoT Networks. IEEE Sensors Journal.

Dayı AKerem, Rodoplu V, Nakip M, Pehlivan B, Güzeliş C.  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)

Nakip M, Gül BCan, Rodoplu V, Güzeliş C.  2022.  Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. IEEE Access. 10

Gelenbe E, Nakip M.  2022.  Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices. IEEE Access. 10 (1.74 MB)

Nakip M, Çopur O, Güzeliş C.  2021.  Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey. ASYU2021 .  (1.17 MB)

Gelenbe E, Nakip M, Marek D, Czachórski T.  2021.  Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem. 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems.  (1.99 MB)

Saylam A, Kelesoglu N, Cikmazel ROrhan, Nakip M, Rodoplu V.  2021.  Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning. International Conference on Computer, Information and Telecommunication Systems (CITS).  (364.76 KB)

Nakip M, Karakayali K, Güzeliş C, Rodoplu V.  2021.  An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. IEEE Access.  (4.36 MB)

Saylam A, Cikmazel ROrhan, Kelesoglu N, Nakip M, Rodoplu V.  2021.  Energy-Efficient Indoor Positioning for Mobile Internet of Things Based on Artificial Intelligence. ASYU2021 .  (1.79 MB)

Nakip M, Gelenbe E.  2021.  MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network. 2021 IEEE Global Communications Conference.  (857.52 KB)

Çakan E, Şahin A, Nakip M, Rodoplu V.  2021.  Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning. 7th IEEE World Forum on the Internet of Things.  (262.85 KB)