The security community, including both academia and industry, is increasingly adopting
machine learning (ML) for its superior generalizability compared to traditional rule-based …

Developing a simple and efficient attack detection system for ensuring the security of cloud
systems against cyberthreats is a crucial and demanding process in the present time. In …

In today's digitally interconnected world, securing computer networks against potential
threats is of utmost importance integrity and confidentiality of sensitive information are some …

Unmanned aerial vehicles (UAVs) have recently gained popularity due to their extensive
uses in parcel delivery, wildlife conservation, agriculture, and the military. However, security …

Graphs are powerful data structures that are used to model some of the most complex
systems in the world, such as interpersonal relationships in social networks, protein-protein …

Hoy en día vemos cómo las organizaciones migran progresivamente una proporción mayor
de sus servicios y procesos hacia la nube por las ventajas variadas de esta plataforma las …

The networking of industrial control systems improves the industrial production efficiency,
but it also suffers from the cyber attack risk. The distribution of intrusion data and normal data …

Applying deep learning techniques to perform network intrusion detection has expanded
significantly in recent years. One of the main factors contributing to this expansion is the …

With the popularization of network applications and the great changes in the international
political, economic and military situations, network security is becoming more and more …

Computer scientists are studying intrusion detection systems due to rising network
throughput and security threatsthat the network may be exposed to as a result of external …