Nasereddin M, Nakip M, Gelenbe E.  In Press.  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)

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

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

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)

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)

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)

Nakip M, Helva A, Güzeliş C, Rodoplu V.  2021.  Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things. 7th IEEE World Forum on the Internet of Things.  (990.8 KB)