Anomaly based network intrusion detection for IoT attacks using deep learning technique
Abstract Internet of Things (IoT) applications are growing in popularity for being widely used
in many real-world services. In an IoT ecosystem, many devices are connected with each …
in many real-world services. In an IoT ecosystem, many devices are connected with each …
[HTML][HTML] Botnet attack detection using local global best bat algorithm for industrial internet of things
A Alharbi, W Alosaimi, H Alyami, HT Rauf… - Electronics, 2021 - mdpi.com
The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
[HTML][HTML] Explainable artificial intelligence for intrusion detection system
S Patil, V Varadarajan, SM Mazhar, A Sahibzada… - Electronics, 2022 - mdpi.com
Intrusion detection systems are widely utilized in the cyber security field, to prevent and
mitigate threats. Intrusion detection systems (IDS) help to keep threats and vulnerabilities out …
mitigate threats. Intrusion detection systems (IDS) help to keep threats and vulnerabilities out …
[HTML][HTML] Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection
M Schmitt - Journal of Industrial Information Integration, 2023 - Elsevier
The last decades have been characterized by unprecedented technological advances,
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
[HTML][HTML] Towards model generalization for intrusion detection: Unsupervised machine learning techniques
Through the ongoing digitization of the world, the number of connected devices is
continuously growing without any foreseen decline in the near future. In particular, these …
continuously growing without any foreseen decline in the near future. In particular, these …
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection
The continuous strengthening of the security posture of Internet of Things (IoT) ecosystems
is vital due to the increasing number of interconnected devices and the volume of sensitive …
is vital due to the increasing number of interconnected devices and the volume of sensitive …
Artificial intelligence and blockchain: A review
AA Hussain, F Al‐Turjman - Transactions on emerging …, 2021 - Wiley Online Library
It is irrefutable that blockchain and artificial intelligence (AI) paradigms are spreading at an
incredible rate. The two paradigms have distinctive level of innovative nature and …
incredible rate. The two paradigms have distinctive level of innovative nature and …
A spectrogram image-based network anomaly detection system using deep convolutional neural network
The dynamics of computer networks have changed rapidly over the past few years due to a
tremendous increase in the volume of the connected devices and the corresponding …
tremendous increase in the volume of the connected devices and the corresponding …
[HTML][HTML] Application of natural language processing and machine learning boosted with swarm intelligence for spam email filtering
Spam represents a genuine irritation for email users, since it often disturbs them during their
work or free time. Machine learning approaches are commonly utilized as the engine of …
work or free time. Machine learning approaches are commonly utilized as the engine of …