23 citations · 74 across the 26 of their papers we have counts for
10 papers · 1 filter
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Ferhat Ozgur Catak, Umit Cali, Murat Kuzlu +1
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…
5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources
Ferhat Ozgur Catak, Evren Catak, Ogerta Elezaj
Random number generation (RNG) is a crucial element in security protocols, and its performance and reliability are critical for the safety and integrity of digital systems. This is…
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak +2
Future wireless networks (5G and beyond) are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks…
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp +2
Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learning techniques, has been started to use for the…
The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining
Murat Kuzlu, Ferhat Ozgur Catak, Umit Cali +2
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 t…
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems
Kevser Şahinbaş, Ferhat Ozgur Catak
Recently, many innovations have been experienced in healthcare by rapidly growing Internet-of-Things (IoT) technology that provides significant developments and facilities in the h…
Data Augmentation Based Malware Detection using Convolutional Neural Networks
Ferhat Ozgur Catak, Javed Ahmed, Kevser Sahinbas +1
Recently, cyber-attacks have been extensively seen due to the everlasting increase of malware in the cyber world. These attacks cause irreversible damage not only to end-users but…
A Benchmark API Call Dataset for Windows PE Malware Classification
Ferhat Ozgur Catak, Ahmet Faruk Yazı
The use of operating system API calls is a promising task in the detection of PE-type malware in the Windows operating system. This task is officially defined as running malware in…
Privacy Preserving PageRank Algorithm By Using Secure Multi-Party Computation
Ferhat Ozgur Catak
In this work, we study the problem of privacy preserving computation on PageRank algorithm. The idea is to enforce the secure multi party computation of the algorithm iteratively u…
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data
Ferhat Özgür Çatak
Especially in the Big Data era, the usage of different classification methods is increasing day by day. The success of these classification methods depends on the effectiveness of…