Blar i Studentoppgaver (TN-IDE) på forfatter "Catak, Ferhat Özgur"
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5G RF Spectrum-based Cryptographic Pseudo Random Number Generation for IoT Security
Øksendal, Oddvar Nordbø (Master thesis, 2023)This thesis presents a novel approach for generating truly random num- bers in 5G wireless communication systems using the radio frequency (RF) spectrum. The proposed method leverages variations in the RF spectrum to create ... -
DDoS angrep generering for å utmatte GPU/CPU ressurser til IoT baserte AI applikasjoner
Myklebust, Benjamin Andre Scheiene; Anthonsen, Steffen Larsen (Bachelor thesis, 2023)I vår studie sikter vi på å teste dyktigheten til nettverksangrep deteksjonssystemer i Internet of Things enheter og deres egenskap til å motstå belastningsangrep på prosessorer gjennom et åpenkildet evolusjonær utviklingsprogram ... -
DDoS angrep generering for å utmatte GPU/CPU ressurser til IoT baserte AI applikasjoner
Anthonsen, Steffen Larsen; Myklebust, Benjamin Andre Scheiene (Bachelor thesis, 2023)I vår studie sikter vi på å teste dyktigheten til nettverksangrep deteksjonssystemer i Internet of Things enheter og deres egenskap til å motstå belastningsangrep på prosessorer gjennom et åpenkildet evolusjonær utviklingsprogram ... -
Developing and Testing Digital Twins for Vehicle Collision Prediction: A Machine Learning and Genetic Search Algorithm Approach
Kassaye, Yohannes Dawit; Hansen, Sigurd Grøvdal (Master thesis, 2023)This thesis focuses on developing a digital twin which can predict and avoid collisions. The digital twin does this by using different machine learning models that are trained on data from the SVL Simulator. By harnessing ... -
Implemention and Evaluation of a Private Set Intersection Protocol Built With Fully Homomorphic Encryption
Nyland, Sarezh Paevl (Master thesis, 2023)Homomorphic encryption is a cryptographic technique which allows for computations on encrypted data. This type of cryptography helps respect the privacy of an entity that wishes to outsource computations on their data. ... -
Lattice-Based Cryptography for Privacy Preserving Machine Learning
Walskaar, Ivar; Tran, Minh Christian (Master thesis, 2023)The digitization of healthcare data has presented a pressing need to address privacy concerns within the realm of machine learning for healthcare institutions. One promising solution is Federated Learning (FL), which enables ... -
Machine Learning for Tagging of Educational Content
Amundsen, Anne Helland (Master thesis, 2022)Online education has become a popular education form in recent years, with its use increasing massively during the COVID-19 pandemic. Neddy is a start-up company created at the start of the COVID-19 pandemic with the aim ... -
Novel Data Encodings For Quantum Machine Learning: Enhancing the Quantum Feed-forward Neural Network for Improved Image Recognition
Haavardtun, Emil (Master thesis, 2023)Quantum machine learning combines the realms of quantum computing with artificial intelligence, providing novel approaches to problem-solving. Quantum image recognition is one such problem that has attracted significant ... -
Privacy of 5G Enabled Networks: Homomorphic Encryption based Privacy-Preserving Machine Learning
Pierzgalski, Emil Alan (Master thesis, 2023)Homomorphic encryption (HE) is a technique that allows computations to be performed on encrypted data, just as if the data were unencrypted. This has numerous potential applications, such as sensitive medical data, mainly ... -
Privacy-Preserving Machine Learning for Health Institutes
Wibawa, Febrianti (Master thesis, 2022)Medical data is, due to its nature, often susceptible to data privacy and security concerns. The identity of a person can be derived from medical data. Federated learning, one type of machine learning technique, is popularly ...