Description: Malicious traffic detection in a Virtual Private Network (VPN) refers to the process of identifying and analyzing data that may be harmful or unauthorized circulating through the network. This process is crucial for maintaining the security and integrity of the information transmitted, as VPNs are used to encrypt data and hide the user’s IP address, making them an attractive target for attackers. Malicious traffic detection involves the use of various techniques and tools that allow real-time traffic monitoring, identifying suspicious patterns, and responding to potential threats. The main features of this process include the ability to analyze both incoming and outgoing traffic, the implementation of intrusion detection algorithms, and the use of artificial intelligence to improve accuracy in threat identification. The relevance of this practice lies in the growing reliance on VPNs for online privacy and security, especially in a world where data breaches and cyberattacks are increasingly common. Therefore, malicious traffic detection not only protects individual users but also safeguards the network infrastructure of organizations that use these technologies.
