Description: Web traffic filtering is a crucial process in cybersecurity that involves analyzing and controlling the traffic entering and leaving a website. Its primary goal is to identify and block malicious requests, thereby protecting servers and web applications from attacks, especially Distributed Denial of Service (DDoS) attacks. These types of attacks aim to overwhelm a server’s resources with massive traffic volumes, potentially leading to service disruption. Web traffic filtering employs various techniques, such as packet inspection, traffic pattern analysis, and the implementation of blacklists and whitelists, to distinguish between legitimate and potentially harmful traffic. Additionally, it may include the use of artificial intelligence and machine learning to adapt to new threats in real-time. The relevance of this practice has grown exponentially with the increase in digitalization and reliance on online services, making it an essential tool for businesses and organizations seeking to maintain the availability and security of their digital platforms.
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