Transfer learning approach to IDS on cloud IoT devices using optimized CNN
Data centralization can potentially increase Internet of Things (IoT) usage. The trend is to
move IoT devices to a centralized server with higher memory capacity and a more robust …
move IoT devices to a centralized server with higher memory capacity and a more robust …
Deep learning approach for intrusion detection in IoT-multi cloud environment
D Selvapandian, R Santhosh - Automated Software Engineering, 2021 - Springer
The possibility of connecting billions of smart end devices in the Internet of Things (IoT)
provides wide range of services to the user. But, the unlimited connectivity of devices in IoT …
provides wide range of services to the user. But, the unlimited connectivity of devices in IoT …
An ensemble deep learning based IDS for IoT using Lambda architecture
R Alghamdi, M Bellaiche - Cybersecurity, 2023 - Springer
Abstract The Internet of Things (IoT) has revolutionized our world today by providing greater
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
A stratified IoT deep learning based intrusion detection system
The Internet of Things (IoT) enables billions of intelligent linked devices to communicate
through the IP standard. With the Internet and the Cloud Computing environment, nearly any …
through the IP standard. With the Internet and the Cloud Computing environment, nearly any …
Dependable intrusion detection system for IoT: A deep transfer learning based approach
Security concerns for Internet of Things (IoT) applications have been alarming because of
their widespread use in different enterprise systems. The potential threats to these …
their widespread use in different enterprise systems. The potential threats to these …
Transfer-learning-based intrusion detection framework in IoT networks
Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
Towards a deep learning-driven intrusion detection approach for Internet of Things
Abstract Internet of Things (IoT) as a paradigm comes with a range of benefits to humanity.
Domains of research for the IoT range from healthcare automation to energy and transport …
Domains of research for the IoT range from healthcare automation to energy and transport …
[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …
security of interconnected devices and networks. This necessitates the use of efficient …
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …