Attack detection based on machine learning techniques to safe and secure for CPS—A review

DM Sharma, SK Shandilya - … Conference on IoT, Intelligent Computing and …, 2023 - Springer
Technological progression in communication and computing domains has led to the advent
of cyber-physical systems (CPS). As an emerging technological advancement, CPS security …

Botnets breaking transformers: Localization of power botnet attacks against the distribution grid

L Pepin, L Wang, J Wang, S Han, P Pishawikar… - arXiv preprint arXiv …, 2022 - arxiv.org
Traditional botnet attacks leverage large and distributed numbers of compromised internet-
connected devices to target and overwhelm other devices with internet packets. With …

dataset reduction framework for intelligent fault detection in IoT-based cyber-physical systems using machine learning techniques

G Tertytchny, MK Michael - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Intelligent Fault Detection (IFD), the use of machine learning-based methods and algorithms
for the fault detection in modern systems becomes nowadays important due to the large …

Identity Theft Prediction Model using Historical Data and Supervised Machine Learning: Design Science Research Study

C Mitchell - 2023 - search.proquest.com
With the growth of online banking, there has been a rise in identity theft and other
cybercrimes. What is missing in the current published literature is how historical identity theft …

Detecting Rogue Manipulation of Smart Home Device Settings

D Zeichick - 2020 - search.proquest.com
Smart home devices control a home's environmental and security settings. This includes
devices that control home thermostats, sprinkler systems, light bulbs, and home appliances …