Deep learning-based intrusion detection for IoT networks
Internet of Things (IoT) has an immense potential for a plethora of applications ranging from
healthcare automation to defence networks and the power grid. The security of an IoT …
healthcare automation to defence networks and the power grid. The security of an IoT …
Voting classifier-based intrusion detection for iot networks
Abstract Internet of Things (IoT) is transforming human lives by paving the way for the
management of physical devices on the edge. These interconnected IoT objects share data …
management of physical devices on the edge. These interconnected IoT objects share data …
WILS-TRS—A novel optimized deep learning based intrusion detection framework for IoT networks
B Jothi, M Pushpalatha - Personal and Ubiquitous Computing, 2023 - Springer
Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …
of research. The heterogeneous nature of IoT networks makes them applicable for various …
[HTML][HTML] A multi-layer classification approach for intrusion detection in iot networks based on deep learning
The security of IoT networks is an important concern to researchers and business owners,
which is taken into careful consideration due to its direct impact on the availability of the …
which is taken into careful consideration due to its direct impact on the availability of the …
Intrusion detection system for Internet of Things based on a machine learning approach
C Liang, B Shanmugam, S Azam… - … on Vision Towards …, 2019 - ieeexplore.ieee.org
With the application of Internet of Things technology to every aspect of life, the potential
damage caused by Internet of things attacks is more serious than for traditional network …
damage caused by Internet of things attacks is more serious than for traditional network …
A lightweight supervised intrusion detection mechanism for IoT networks
S Roy, J Li, BJ Choi, Y Bai - Future Generation Computer Systems, 2022 - Elsevier
Abstract As the Internet of Things (IoT) is becoming increasingly popular, we have
experienced more security breaches that are associated with the connection of vulnerable …
experienced more security breaches that are associated with the connection of vulnerable …
Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach
Abstract The Internet of Things (IoT) is currently seeing tremendous growth due to new
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …
PDAE: Efficient network intrusion detection in IoT using parallel deep auto-encoders
A Basati, MM Faghih - Information Sciences, 2022 - Elsevier
Network intrusion detection is one of the most important components of mobile networks
security. In recent years, the application of neural networks has been very popular in …
security. In recent years, the application of neural networks has been very popular in …
[HTML][HTML] A novel deep supervised learning-based approach for intrusion detection in IoT systems
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …
aspects of our modern life in recent years. However, the most critical challenge for the world …
[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 …