Detecting anomaly data for IoT sensor networks
Z Wei, F Wang - Scientific Programming, 2022 - Wiley Online Library
The Internet of Things, or IoT, has been widely recognized as a new perception paradigm for
interacting between the digital world and the physical one. Acting as the interface and …
interacting between the digital world and the physical one. Acting as the interface and …
MDAP: Module Dependency based Anomaly Prediction
H Borse, B Sahoo, P Chanda, S Sinha… - Computer …, 2023 - Elsevier
In large-scale distributed systems with multiple interconnected modules, failure of even a
single module might have a cascading effect and might result in overall system failure …
single module might have a cascading effect and might result in overall system failure …
Modeling the Abnormality: Machine Learning-based Anomaly and Intrusion Detection in Software-defined Networks
T Das - 2023 - search.proquest.com
Modern software-defined networks (SDN) provide additional control and optimal
functionality over large-scale computer networks. Due to the rise in networking applications …
functionality over large-scale computer networks. Due to the rise in networking applications …
[PDF][PDF] Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems
Artificial intelligence (AI) techniques have been widely employed to monitor, control, and
manage Cyber-Physical Power Systems (CPPS). AI algorithms provide several advantages …
manage Cyber-Physical Power Systems (CPPS). AI algorithms provide several advantages …