Abstract of the webinar:
Distributed-denial-of-service (DDoS) attacks are volumetric attacks designed to flood the network with superfluous traffic. A DDoS attack results in either degraded network performance or an outright service outage of critical infrastructure. The global DDoS landscape is witnessing a remarkable evolution, marked by an alarming surge in the number, frequency, volume, power and duration of DDoS attacks. Moreover, today’s massive DDoS attacks are more complex and far more damaging.
In this webinar, we provide an overview of DDoS attacks. We will discuss different detection and mitigation options, providing brief guidance for network and systems engineers, network infrastructure operators and other interested parties. To keep the peace with the evolving DDoS landscape, we will focus on acceleration of network traffic processing utilizing programmable network interface cards (SmartNICs) and Machine Learning (ML) to automatically analyze and mitigate the attacks at the high-speeds, minimizing the impact on the legitimate traffic. The presentation will show a real-life DDoS attack to demonstrate the symbiosis of the SmartNICs and Machine Learning techniques. The presentation will conclude with key take-aways and DDoS outlook.
Take advantage of the opportunity to participate directly or get a record of webinar by free registration:
