Разработан алгоритм поиска и выявления сетевых аномалий в системных журналах
операционной системы Microsoft Windows с применением методов машинного …

Ce projet de fin d'études se concentre sur l'application de l'apprentissage automatique à la
Maintenance Prédictive. Dans un premier temps, une revue approfondie de l'état de l'art de …

The Android platform has become the most popular smartphone operating system, which
makes it a target for malicious mobile apps. This paper proposes a machine learning-based …

Due to the rapid growth of technology, the urgency for effective cybersecurity systems has
become increasingly critical, notably within the paradigm of the Internet of Things (IoT) and …

At the current digital age, cybercrimes are increasing vastly. The strategies and tools
preventing sophisticated cyberattacks and crimes cause organizations to stay intelligent with …

There is no doubt that cyber-physical systems will affect life, work, business, science, and
the environment more and more. Autonomy—based on artificial intelligence and machine …

Today, and across the world, denial of service attacks has increased by a significant
frequency and takes different forms. The costs of downtime, outages and failures caused by …

Organizations that specialize in technological fields, such as cloud computing, big data,
Internet of thing (IoT), etc., are significantly troubled by the issue of cyber-attacks in present …

The performance of smart cities depends not only on the physical infrastructure but also on
the availability and quality of data that is obtained from the various smart devices. This …