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 …
Deep learning feature fusion approach for an intrusion detection system in SDN-based IoT networks
V Ravi, R Chaganti, M Alazab - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
A survey of the literature shows that the number of IoT attacks are gradually growing over the
years due to the growing trend of Internet-enabled devices. Software defined networking …
years due to the growing trend of Internet-enabled devices. Software defined networking …
[HTML][HTML] Feature extraction for machine learning-based intrusion detection in IoT networks
A large number of network security breaches in IoT networks have demonstrated the
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …
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 …
A robust comparison of the KDDCup99 and NSL-KDD IoT network intrusion detection datasets through various machine learning algorithms
In recent years, as intrusion attacks on IoT networks have grown exponentially, there is an
immediate need for sophisticated intrusion detection systems (IDSs). A vast majority of …
immediate need for sophisticated intrusion detection systems (IDSs). A vast majority of …
Design of an advance intrusion detection system for IoT networks
The Internet of Things (IoT) is advancing technology by creating smart surroundings that
make it easier for humans to do their work. This technological advancement not only …
make it easier for humans to do their work. This technological advancement not only …
[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 …
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 …
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning
Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …
that can cause security issues. To protect against this, machine learning approaches have …
Ai-based two-stage intrusion detection for software defined iot networks
Software defined Internet of Things (SD-IoT) networks profit from centralized management
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …