Multi-task learning for IoT traffic classification: A comparative analysis of deep autoencoders
As a system allowing intra-network devices to automatically communicate over the Internet,
the Internet of Things (IoT) faces increasing popularity in modern applications and security …
the Internet of Things (IoT) faces increasing popularity in modern applications and security …
Hybrid Multi-Task Deep Learning for Improved IoT Network Intrusion Detection: Exploring Different CNN Structures
The rapid expansion of the Internet of Things (IoT) has led to the need for robust security
mechanisms to protect IoT networks and devices against various attacks. In this paper, we …
mechanisms to protect IoT networks and devices against various attacks. In this paper, we …
[PDF][PDF] ОБНАРУЖЕНИЕ АТАК В ИНТЕРНЕТЕ ВЕЩЕЙ НА ОСНОВЕ МНОГОЗАДАЧНОГО ОБУЧЕНИЯ И ГИБРИДНЫХ МЕТОДОВ СЭМПЛИРОВАНИЯ
ИВ Котенко, Х Дун - Вопросы кибербезопасности, 2024 - cyberrus.info
Научная новизна: Предложен новый подход к обнаружению атак в сетях Интернета
вещей на основе многозадачного обучения и гибридных методов сэмплирования …
вещей на основе многозадачного обучения и гибридных методов сэмплирования …
ДВАДЦАТЬ ПЕРВАЯ НАЦИОНАЛЬНАЯ КОНФЕРЕНЦИЯ ПО ИСКУССТВЕННОМУ ИНТЕЛЛЕКТУ С МЕЖДУНАРОДНЫМ УЧАСТИЕМ (КИИ-2023)
The Internet of Things (IoT) is a pivotal constituent of the contemporary technological
revolution and has experienced expeditious expansion in recent times. The proliferation of …
revolution and has experienced expeditious expansion in recent times. The proliferation of …