In the past ten years, the source of DDoS has migrated to botnets composed of IoT devices.
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …

Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …

Generative Adversarial Network (GAN) investigations highlight new vulnerabilities and
challenges to machine learning models' security and privacy. Different AI/ML applications …

As an essential piece of infrastructure supporting cyberspace security technology
verification, network weapons and equipment testing, attack defense confrontation drills, and …

The internet, a cornerstone of modern life, has profound implications across personal,
business, and society. However, its widespread use has posed challenges, especially …

Within our academic high-speed network infrastructure which is used for connecting all
universities and high schools in our country to the Internet, there are thousands of …

Deep neural networks (DNN) are highly effective in a number of tasks related to machine
learning across different domains. It is quite challenging to apply the information gained to …

As part of the research in the recently ended project SANET II, we were trying to create a
new machine-learning system without a teacher. This system was designed to recognize …

DoS (Denial-of-Service) attacks pose an imminent threat to cloud services and could cause
significant financial and intellectual damage to cloud service providers and their customers …

Currently, the internet serves as the predominant means of communication and is utilized by
a vast number of individuals worldwide. Simultaneously, the commercial aspect of the …