Host-based IDS: A review and open issues of an anomaly detection system in IoT
Abstract The Internet of Things (IoT) envisions a smart environment powered by connectivity
and heterogeneity where ensuring reliable services and communications across multiple …
and heterogeneity where ensuring reliable services and communications across multiple …
[HTML][HTML] A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection
M Vishwakarma, N Kesswani - Decision Analytics Journal, 2023 - Elsevier
Technology is pivotal in the rapid growth of services and intensifying the quality of life.
Recent technology, like the Internet of Things (IoT), demonstrates an impressive …
Recent technology, like the Internet of Things (IoT), demonstrates an impressive …
Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …
the logistic tracking medical field because it consists of distributed nodes, servers, and …
Realguard: A lightweight network intrusion detection system for IoT gateways
Cyber security has become increasingly challenging due to the proliferation of the Internet of
things (IoT), where a massive number of tiny, smart devices push trillion bytes of data to the …
things (IoT), where a massive number of tiny, smart devices push trillion bytes of data to the …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …
A comprehensive systematic literature review on intrusion detection systems
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …
because cyber attackers are changing packet contents to disguise the intrusion detection …
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …
avenues have emerged. However, the existing industrial architectures are still inefficient to …
A survey on intrusion detection systems for fog and cloud computing
The rapid advancement of internet technologies has dramatically increased the number of
connected devices. This has created a huge attack surface that requires the deployment of …
connected devices. This has created a huge attack surface that requires the deployment of …
[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review
A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …
smart devices. While these innovations offer unprecedented opportunities, they also …
Intrusion detection in iot using deep learning
AM Banaamah, I Ahmad - Sensors, 2022 - mdpi.com
Cybersecurity has been widely used in various applications, such as intelligent industrial
systems, homes, personal devices, and cars, and has led to innovative developments that …
systems, homes, personal devices, and cars, and has led to innovative developments that …