Network Immunization: Python-Based Artificial Intelligence as a Vaccine Against Cyber Attacks

Abstract

In an increasingly technology-dependent world, cybersecurity has become a critical concern. Cyberattacks, such as data theft and malware, can have devastating consequences for businesses, governments, and individuals. In this context, artificial intelligence (AI) emerges as a powerful tool to safeguard networks and computer systems. Network immunization leverages machine learning and real-time data analysis to identify patterns and anomalies in network traffic. AI can detect unusual behaviors that may indicate an ongoing cyberattack or intrusion attempt. Furthermore, it can adapt and continuously learn from new threats, thereby maintaining a more secure network over time. However, the implementation of network immunization requires careful consideration due to ethical and privacy challenges, involving constant monitoring of online activities.