Robust Kalman filter for position estimation of automated guided vehicles under cyberattacks
Automated guided vehicles (AGVs) have become a key part of many industries, where they
handle the task of managing material flows. As a result, they are very important targets for …
handle the task of managing material flows. As a result, they are very important targets for …
Securing smart healthcare cyber-physical systems against blackhole and greyhole attacks using a blockchain-enabled gini index framework
The increasing reliance on cyber-physical systems (CPSs) in critical domains such as
healthcare, smart grids, and intelligent transportation systems necessitates robust security …
healthcare, smart grids, and intelligent transportation systems necessitates robust security …
Anomaly detection in IoT communication network based on spectral analysis and Hurst exponent
Internet traffic monitoring is a crucial task for the security and reliability of communication
networks and Internet of Things (IoT) infrastructure. This description of the traffic statistics is …
networks and Internet of Things (IoT) infrastructure. This description of the traffic statistics is …
Water quality estimation and anomaly detection: A review
Critical infrastructures that provide irreplaceable services are systems that contain industrial
control systems (ICS) that can cause great economic losses, security vulnerabilities and …
control systems (ICS) that can cause great economic losses, security vulnerabilities and …
Outlier detection in temporal spatial log data using autoencoder for industry 4.0
Industry is changing rapidly under industry 4.0. The manufacturing process and its cyber-
physical systems (CPSs) produce large amounts of data with many relationships and …
physical systems (CPSs) produce large amounts of data with many relationships and …
An Autonomous Cyber‐Physical Anomaly Detection System Based on Unsupervised Disentangled Representation Learning
C Li, X Guo, X Wang - Security and Communication Networks, 2021 - Wiley Online Library
Cyber‐Physical Systems (CPS) in heavy industry are a combination of closely integrated
physical processes, networking, and scientific computing. The physical production process …
physical processes, networking, and scientific computing. The physical production process …
Data Mining for the Security of Cyber Physical Systems Using Deep-Learning Methods
B Nath, T Hämäläinen, S Ezekiel - … of the 17th international conference on …, 2022 - jyx.jyu.fi
Cyber Physical Systems (CPSs) have become widely popular in recent years, and their
applicability have been growing exponentially. A CPS is an advanced system that …
applicability have been growing exponentially. A CPS is an advanced system that …
Deep learning algorithm based cyber-attack detection in cyber-physical systems-a survey
N Valliammal, B Shaju - International Journal of Advanced …, 2018 - search.proquest.com
Over the last years, cyber-attack detection and control system design has become a
significant area in cyber-physical systems (CPSs) due to the rapid growth of cyber-security …
significant area in cyber-physical systems (CPSs) due to the rapid growth of cyber-security …
Big data analytics with machine learning and deep learning methods for detection of anomalies in network traffic
V Narayan, D Shanmugapriya - … of Research on Machine and Deep …, 2020 - igi-global.com
Abstract Information is vital for any organization to communicate through any network. The
growth of internet utilization and the web users increased the cyber threats. Cyber-attacks in …
growth of internet utilization and the web users increased the cyber threats. Cyber-attacks in …
Explaining Generative Adversarial Network Time Series Anomaly Detection using Shapley Additive Explanations
C Simon - 2024 - hammer.purdue.edu
Anomaly detection is an active research field that widely applies to commercial applications
to detect unusual patterns or outliers. Time series anomaly detection provides valuable …
to detect unusual patterns or outliers. Time series anomaly detection provides valuable …