Outlier dirichlet mixture mechanism: Adversarial statistical learning for anomaly detection in the fog
Current anomaly detection systems (ADSs) apply statistical and machine learning
algorithms to discover zero-day attacks, but such algorithms are vulnerable to advanced …
algorithms to discover zero-day attacks, but such algorithms are vulnerable to advanced …
Scalable anomaly-based intrusion detection for secure Internet of Things using generative adversarial networks in fog environment
W Yao, H Shi, H Zhao - Journal of Network and Computer Applications, 2023 - Elsevier
The data generated exponentially by a massive number of devices in the Internet of Things
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …
[HTML][HTML] Genetic Algorithm based feature selection and Naïve Bayes for anomaly detection in fog computing environment
JO Onah, M Abdullahi, IH Hassan… - Machine Learning with …, 2021 - Elsevier
The sharp rise in network attacks has been a major source of concern in cyber security,
particularly that now internet usage and connectivity are in high demand. As a complement …
particularly that now internet usage and connectivity are in high demand. As a complement …
Fog computing-based intrusion detection architecture to protect iot networks
Y Labiod, A Amara Korba, N Ghoualmi - Wireless Personal …, 2022 - Springer
With the deployment of billions of Internet of Things (IoT) devices, more and more cyber
attacks involving or even targeting such devices are rife. Cyberattack vectors are in constant …
attacks involving or even targeting such devices are rife. Cyberattack vectors are in constant …
DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks
N Moustafa, M Keshk, KKR Choo, T Lynar… - Future Generation …, 2021 - Elsevier
There are various data management and security tools deployed at the cloud for storing and
analyzing big data generated by the Internet of Things (IoT) and Industrial IoT (IIoT) systems …
analyzing big data generated by the Internet of Things (IoT) and Industrial IoT (IIoT) systems …
Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment
BA NG, S Selvakumar - Future Generation Computer Systems, 2020 - Elsevier
The proliferation of Internet of things (IoT) devices has lured hackers to launch attacks.
Therefore, anomalies in IoT traffic must be detected to mitigate these attacks and protect …
Therefore, anomalies in IoT traffic must be detected to mitigate these attacks and protect …
Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks
Internet of things or in short IoT is a network of interconnected entities such as computing
devices, mechanical machines, digital gadgets etc. Cloud based IoT infrastructures are …
devices, mechanical machines, digital gadgets etc. Cloud based IoT infrastructures are …
Artificial neural networks-based intrusion detection system for internet of things fog nodes
The Internet of Things (IoT) represents a mean to share resources (memory, storage
computational power, data, etc.) between computers and mobile devices, as well as …
computational power, data, etc.) between computers and mobile devices, as well as …
Securing fog-to-things environment using intrusion detection system based on ensemble learning
The growing interest in the Internet of Things (IoT) applications is associated with an
augmented volume of security threats. In this vein, the Intrusion detection systems (IDS) …
augmented volume of security threats. In this vein, the Intrusion detection systems (IDS) …
Rooted learning model at fog computing analysis for crime incident surveillance
Cyber Loopholes in smart devices' applications invited intruders to conduct malicious
activities. The growing quantity and diversity of smart devices has posed significant cyber …
activities. The growing quantity and diversity of smart devices has posed significant cyber …