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Mert Nakip
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2020 – today
- 2025
- [j16]Erol Gelenbe
, Mert Nakip
, Miltiadis G. Siavvas
:
System Wide Vulnerability and Trust in Multi-Component Communication System Software. IEEE Netw. 39(2): 108-114 (2025) - 2024
- [j15]Pervin Bulucu
, Mert Nakip
, Cüneyt Güzelis
:
Multi-Sensor E-Nose Based on Online Transfer Learning Trend Predictive Neural Network. IEEE Access 12: 71442-71452 (2024) - [j14]Mert Nakip
, Nur Kelesoglu
, Cüneyt Güzelis:
Fire detection and risk assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization. Appl. Soft Comput. 164: 112023 (2024) - [j13]Erol Gelenbe, Mert Nakip, Miltiadis G. Siavvas:
System-wide vulnerability of multi-component software. Comput. Ind. Eng. 196: 110453 (2024) - [j12]Erol Gelenbe
, Baran Can Gül, Mert Nakip
:
DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with online learning for health Internet of Things and Internet of Vehicles. Internet Things 28: 101340 (2024) - [j11]Mert Nakip
, Erol Gelenbe
:
Online Self-Supervised Deep Learning for Intrusion Detection Systems. IEEE Trans. Inf. Forensics Secur. 19: 5668-5683 (2024) - [c15]Mert Nakip, Erol Gelenbe:
An Associated Random Neural Network Detects Intrusions and Estimates Attack Graphs. MASCOTS 2024: 1-4 - [c14]Mohammed Nasereddin, Mert Nakip, Erol Gelenbe:
Deep Learning Intrusion Detection and Mitigation of DoS Attacks. MASCOTS 2024: 1-4 - 2023
- [j10]Erol Gelenbe
, Mert Nakip
:
IoT Network Cybersecurity Assessment With the Associated Random Neural Network. IEEE Access 11: 85501-85512 (2023) - [c13]Erol Gelenbe
, Mert Nakip
:
Real-Time Cyberattack Detection with Offline and Online Learning. LANMAN 2023: 1-6 - [c12]Mohammed Nasereddin
, Mert Nakip, Erol Gelenbe:
Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. LCN 2023: 1-4 - [c11]Mert Nakip, Baran Can Gül, Erol Gelenbe:
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. MASCOTS 2023: 1-8 - [i8]Erol Gelenbe, Mert Nakip:
Real-Time Cyberattack Detection with Offline and Online Learning. CoRR abs/2303.11760 (2023) - [i7]Erol Gelenbe, Mert Nakip:
Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks. CoRR abs/2303.13627 (2023) - [i6]Mohammed Nasereddin, Mert Nakip, Erol Gelenbe:
Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. CoRR abs/2305.10565 (2023) - [i5]Mert Nakip, Baran Can Gül, Erol Gelenbe:
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. CoRR abs/2306.13029 (2023) - [i4]Mert Nakip, Erol Gelenbe:
Online Self-Supervised Learning in Machine Learning Intrusion Detection for the Internet of Things. CoRR abs/2306.13030 (2023) - [i3]Mert Nakip, Onur Çopur, Emrah Biyik, Cüneyt Güzelis:
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. CoRR abs/2307.01622 (2023) - 2022
- [j9]Mert Nakip
, Baran Can Gül, Volkan Rodoplu
, Cüneyt Güzelis
:
Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. IEEE Access 10: 55602-55615 (2022) - [j8]Erol Gelenbe
, Mert Nakip
:
Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices. IEEE Access 10: 126536-126549 (2022) - [j7]Mert Nakip
, Erdem Çakan
, Volkan Rodoplu
, Cüneyt Güzelis:
Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things. J. Netw. Comput. Appl. 201: 103360 (2022) - [j6]Arif Kerem Dayi, Volkan Rodoplu, Mert Nakip
, Buse Pehlivan, Cüneyt Güzelis:
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. 13(2): 68-95 (2022) - [j5]Erol Gelenbe
, Mert Nakip
, Tadeusz Czachórski:
Improving Massive Access to IoT Gateways. Perform. Evaluation 157-158: 102308 (2022) - [c10]Miltiadis G. Siavvas, Erol Gelenbe, Dimitrios Tsoukalas, Ilias Kalouptsoglou, Maria Mathioudaki, Mert Nakip, Dionisis D. Kehagias, Dimitrios Tzovaras:
The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview. DRCN 2022: 1-6 - [c9]Onur Çopur, Mert Nakip
, Simone Scardapane, Jürgen Slowack:
Engagement Detection with Multi-Task Training in E-Learning Environments. ICIAP (3) 2022: 411-422 - [c8]Erol Gelenbe
, Mert Nakip
:
G-Networks Can Detect Different Types of Cyberattacks. MASCOTS 2022: 9-16 - [i2]Onur Çopur, Mert Nakip, Simone Scardapane, Jürgen Slowack:
Engagement Detection with Multi-Task Training in E-Learning Environments. CoRR abs/2204.04020 (2022) - 2021
- [j4]Mert Nakip
, Cüneyt Güzelis
, Osman Yildiz:
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection. IEEE Access 9: 84204-84216 (2021) - [j3]Mert Nakip
, Kubilay Karakayali
, Cüneyt Güzelis
, Volkan Rodoplu
:
An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. IEEE Access 9: 104011-104028 (2021) - [c7]Alper Saylam, Nur Kelesoglu
, Rifat Orhan Çikmazel, Mert Nakip
, Volkan Rodoplu:
Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning. CITS 2021: 1-5 - [c6]Mert Nakip
, Erol Gelenbe:
MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network. GLOBECOM 2021: 1-6 - [c5]Erol Gelenbe, Mert Nakip
, Dariusz Marek, Tadeusz Czachórski
:
Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem. MASCOTS 2021: 1-8 - [c4]Mert Nakip
, Alperen Helva, Cüneyt Güzelis, Volkan Rodoplu:
Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things. WF-IoT 2021: 247-252 - [c3]Erdem Çakan
, Aral Sahin, Mert Nakip
, Volkan Rodoplu:
Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning. WF-IoT 2021: 253-257 - [c2]Mert Nakip
, Erol Gelenbe:
Randomization of Data Generation Times Improves Performance of Predictive IoT Networks. WF-IoT 2021: 350-355 - 2020
- [j2]Volkan Rodoplu
, Mert Nakip
, Roozbeh Qorbanian
, Deniz Türsel Eliiyi
:
Multi-Channel Joint Forecasting-Scheduling for the Internet of Things. IEEE Access 8: 217324-217354 (2020) - [j1]Volkan Rodoplu
, Mert Nakip
, Deniz Türsel Eliiyi
, Cüneyt Güzelis
:
A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT. IEEE Internet Things J. 7(9): 8572-8589 (2020) - [i1]Mert Nakip, Onur Çopur, Cüneyt Güzelis:
Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak. CoRR abs/2011.03628 (2020)
2010 – 2019
- 2019
- [c1]Mert Nakip
, Baran Can Gül
, Volkan Rodoplu, Cüneyt Güzelis:
Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication. CCIOT 2019: 102-109
Coauthor Index
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last updated on 2025-04-09 21:27 CEST by the dblp team
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