Common use of Problem and challenges Clause in Contracts

Problem and challenges. The advent of 5G and its many advances over previous mobile technologies - much lower latency, huge bandwidth, the possibility to connect many more devices per square meter, and so on anʹso forth - will not just bring benefits. It turns out that all these advances in mobile network performance will provide the perfect breeding ground for attacks. DoS attacks, in particular, will benefit the most from this: larger bandwidth will allow much more traffic to be sent per device, and the fact that many more devices can be concurrently connected to the network (proliferation of IoT devices) will allow much larger, and much more powerful botnets to be created in order to carry out these types of attacks much more effectively, especially empowering DDoS attacks. The main challenge that arises from the previous aspects is an effective detection for traditional DDoS attacks (e.g., flooding attacks) and also for more advanced stealthy DDoS attacks (e.g., SlowDoS attacks). For this purpose, we aim to leverage AI techniques, particularly Deep Learning techniques, for an efficient detection and mitigation of such attacks in 5G environments.

Problem and challenges. The advent of 5G and its many advances over previous mobile technologies - much lower latency, huge bandwidth, the possibility to connect many more devices per square meter, and so on anʹso and so forth - will not just bring benefits. It turns out that all these advances in mobile network performance will provide the perfect breeding ground for attacks. DoS Denial-of-service attacks, in particular, will benefit the most from this: larger bandwidth will allow much more traffic to be sent per device, and the fact that many more devices can be concurrently connected to the network (proliferation of IoT devices) will allow much larger, and much more powerful botnets to be created in order to carry out these types of attacks much more effectively, especially empowering DDoS attacks. distributed denial-of-service attacks (DDoS) The main challenge that arises from the previous aspects is an effective detection for traditional DDoS attacks (e.g., flooding attacks) and also for more advanced stealthy DDoS attacks (e.g., SlowDoS attacks). For this purpose, we aim to leverage AI techniques, particularly Deep Learning techniques, for an efficient detection and mitigation of such attacks in 5G environments.