Maschinelles Lernen
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Maschinelles Lernen ist ein Teilgebiet der künstlichen Intelligenz, das sich mit der Verbesserung statistischer Modelle durch die Nutzung früherer Daten befasst. Dieser Verbesserungsprozess, der als Training bezeichnet wird, wird durch einen Lernalgorithmus erleichtert. Sobald das Modell trainiert wurde, kann es für dieselbe Art von Aufgaben verwendet werden, die von den Trainingsdaten abgedeckt wurden. Damit bietet das maschinelle Lernen einen Ersatz für die explizite Kodierung einer Funktion.
https://link.springer.com/content/pdf/10.1007/978-3-030-93975-5.pdf
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Our Content Management System (CMS) became an attack target
When our CMS became the target of a large-scale DDoS attack, it triggered a real-world stress test of our cloud infrastructure. From saturated load balancers and 100% CPU utilization to emergency mitigation measures, this incident challenged our resilience. By rapidly implementing AWS CloudFront, AWS WAF, and a secure edge-based protection model, we successfully stabilized the system and prevented further disruption. A follow-up attack confirmed the effectiveness of the new architecture, demonstrating how proactive security design and strong collaboration ensure service continuity and long-term resilience.
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Tino Bliesener
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