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This project automates SOC workflows using Wazuh, Shuffle, and TheHive. It involves setting up a Windows 10 client with Sysmon and Ubuntu 22.04 for Wazuh and TheHive, deployed on cloud or VMs. Goals: automate event collection, alerting, and incident response to enhance SOC efficiency.
A Python utility for shuffling and augmenting image data stored as .npy files. Designed to enhance machine learning datasets by generating randomized variations of image arrays through grid-based shuffling, split operations, and rotations.
This project automates SOC workflows using Wazuh, Shuffle, and TheHive. It deploys a Windows 10 endpoint with Sysmon and Ubuntu 22.04 servers on cloud or VMs to centralize event collection, automate alerting, and streamline incident response, improving SOC efficiency and response time.
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E