5g-rng

5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources

6g-channel-estimation-dataset

6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset

6g-homomorphic-enc-federated-learning

6g_mimo_security_distillation

6g_security

6G and Security repository for telecommunications and AI research. We will share our implementations and publications in 5G and beyond technology, 6G, Security, Machine learning on 6G, Massive MIMO, THz communication and communication networks.

adversarial-detection

adversarial-ml-training

apache-http-logs

to detect vulnerability scans, XSS and SQLI attacks, examine access log files for detections.

book-projects

boosted-elm-with-map-reduce

devsecops-tutorial

DevSecOps best practices with a vulnerable Flask based web application

hadoop-particle-swarm-optimization

homomorphic-encryption-and-federated-learning-based-privacy-preserving-cnn-training-

Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing techniques, has been started to use for the improvement of the privacy and security of medical data. In the federated learning, the training data is distributed across multiple machines, and the learning process

homomorphic-encryption-based-privacy-preserving-elm

lstm_malware_detection

malware_api_class

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

mina-he-ai

Master thesis, Asymmetric Neural Cryptography with Homomorphic Properties

msc-thesis-xmkckks

neural-cryptography

ocatak

ocatak.github.io

programming-dp

radarspectrumsensing-fl-aml

social-insecurity

sonarqube

Setting up sonarqube using docker

testselection

Test Selection of Deep Learning

traderes-bc-portal

TradeRES EU Project: A pioneering Ethereum-based blockchain framework for facilitating secure and efficient energy trading. This repository houses the smart contracts for the EnergyToken and EnergyExchange platforms, enabling the production, consumption, and trading of renewable energy tokens. Explore the future of decentralized energy markets.

trustworthyai

Explore the intersection of ethics and technology with 'Trustworthy AI: From Theory to Practice.' This comprehensive guide delves into creating AI models that prioritize privacy, security, and robustness. Featuring practical examples in Python, it covers uncertainty quantification, adversarial machine learning, federated learning, and more.

uncertainty-based-attack-defense

xai_covid19