About this document
Machine Learning Applications in Cybersecurity by Sara kounain is a document available to read on EtoBox.
The document discusses various applications of machine learning, deep learning, and data mining in cybersecurity, highlighting techniques for real-time threat detection, anomaly detection, and intrusion detection across different environments such as IoT and cloud systems. It also covers integration with security tools like Nmap and Wireshark, as well as hybrid approaches that combine multiple methodologies for enhanced security. Advanced techniques, including federated learning and adversarial machine lear
- Author
- Sara kounain
- Language
- EN