Browsing NTNU Open by Author "Catak, Ferhat Özgur"
Now showing items 1-16 of 16
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Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining
Kuzlu, Murat; Catak, Ferhat Özgur; Cali, Umit; Evren, Catak; Guler, Ozgur (Journal article; Peer reviewed, 2022)The design of a security scheme for beamforming prediction is critical for next-generation wireless networks (5G, 6G, and beyond). However, there is no consensus about protecting beamforming prediction using deep learning ... -
Analysis of deceptive data attacks with adversarial machine learning for solar photovoltaic power generation forecasting
Kuzlu, Murat; Sarp, Salih; Catak, Ferhat Özgur; Cali, Umit; Zhao, Yanxiao; Elma, Onur; Guler, Ozgur (Journal article; Peer reviewed, 2022)The solar photovoltaics (PV) energy resources have become more important with their significant contribution to the current power grid among renewable energy resources. However, the integration of the solar PV causes ... -
Classification of Methamorphic Malware with Deep Learning (LSTM)
Catak, Ferhat Özgur; Yazi, Ahmet Faruk; Gul, Ensar (IEEE Conference Publication;, Chapter, 2019)Nowadays, anti-virus applications using traditional signature-based detection methods fail to detect metamorphic malware. For this reason, recent studies on the detection and classification of malicious software address ... -
Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data
Catak, Ferhat Özgur (Chapter, 2015)In this age of Big Data, machine learning based data mining methods are extensively used to inspect large scale data sets. Deriving applicable predictive modeling from these type of data sets is a challenging obstacle ... -
Cyber-physical Hardening of the DigitalWater Infrastructure
Cali, Umit; Catak, Ferhat Özgur; Balogh, Zsolt György; Ugarelli, Rita Maria; Jaatun, Martin Gilje (Chapter, 2023)Water supply and drainage systems, which are categorized as critical infrastructure, serve a crucial role in preserving societal health and well-being. Since climate change effects, harsher regulations, population changes, ... -
Deep learning based Sequential model for malware analysis using Windows exe API Calls
Catak, Ferhat Özgur; Yazi, Ahmet Faruk; Elezaj, Ogerta; Ahmed, Javed (Peer reviewed; Journal article, 2020)Malware development has seen diversity in terms of architecture and features. This advancement in the competencies of malware poses a severe threat and opens new research dimensions in malware detection. This study is ... -
Deep Neural Network based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks
Catak, Ferhat Özgur; Yildirim Yayilgan, Sule (Journal article, 2021) -
Defensive Distillation-based Adversarial Attack Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Guler, Ozgur (Peer reviewed; Journal article, 2022)Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks ... -
Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks
Catak, Ferhat Özgur; Sivaslioglu, Samed; Gul, Ensar (Chapter, 2019)Nowadays, machine learning is being used widely. There have also been attacks towards machine learning process. In this study, robustness against machine learning model attacks which cause many results such as misclassification, ... -
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals
Catak, Ferhat Özgur; Kuzlu, Murat; Sarp, Salih; Evren, Catak; Cali, Umit (Peer reviewed; Journal article, 2023)Cellular networks (LTE, 5G, and beyond) are dramatically growing with high demand from consumers and more promising than the other wireless networks with advanced telecommunication technologies. The main goal of these ... -
Password‐based encryption approach for securing sensitive data
Mustacoglu, Ahmet Fatih; Catak, Ferhat Özgur (Journal article, 2020)The direction of computing is affected and lead by several trends. First, we have the Data Overwhelm from Commercial sources (eg, Amazon), Community sources (eg, Twitter), and Scientific applications (eg, Genomics). Next, ... -
Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm
Catak, Ferhat Özgur; Aydin, Ismail; Elezaj, Ogerta; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2020)The protection and processing of sensitive data in big data systems are common problems as the increase in data size increases the need for high processing power. Protection of the sensitive data on a system that contains ... -
Preventing Data Poisoning Attacks By Using Generative Models
Aladag, Merve; Catak, Ferhat Özgur; Gul, Ensar (Chapter; Peer reviewed, 2019)At the present time, machine learning methods have been becoming popular and the usage areas of these methods have also increased with this popularity. The machine learning methods are expected to increase in the cyber ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Unal, Devrim (Peer reviewed; Journal article, 2022)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Catak, Ferhat Özgur; Cali, Umit; Kuzlu, Murat; Sarp, Salih (Peer reviewed; Journal article, 2023)With the rise of intelligent applications, such as self-driving cars and augmented reality, the security and reliability of wireless communication systems have become increasingly crucial. One of the most critical components ... -
An XAI approach for COVID-19 detection using transfer learning with X-ray images
Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Guler, Ozgur (Peer reviewed; Journal article, 2023)The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ...