An unsupervised machine learning algorithm for attack and anomaly detection in IoT Sensors

S Alangari - Wireless Personal Communications, 2024 - Springer
The development of IoT-based sensor systems, such as many control systems in industries,
is essential, and sensors are essential for detecting chemical and biological threats …

Improving reliability for detecting anomalies in the MQTT network by applying correlation analysis for feature selection using machine learning techniques

Imran, MFA Zuhairi, SM Ali, Z Shahid, MM Alam… - Applied Sciences, 2023 - mdpi.com
Anomaly detection (AD) has captured a significant amount of focus from the research field in
recent years, with the rise of the Internet of Things (IoT) application. Anomalies, often known …

Cyber attacks detection through machine learning in banking

MA GILL, N AHMAD, M KHAN, F ASGHAR… - Bulletin of Business …, 2023 - bbejournal.com
Cyberattacks may cause a wide range of problems, from power outages to broken military
equipment to the loss of vital information like patient medical records. Due to the huge …

Machine Learning-Based Anomaly Detection for Multivariate Time Series with Correlation Dependency

S Chauhan, S Lee - IEEE Access, 2022 - ieeexplore.ieee.org
Recent advances in data collection facilitate the acquisition of large quantities of multivariate
time series (MTS) data from various real-world systems. Anomaly detection in high …

[HTML][HTML] Leveraging complex event processing for monitoring and automatically detecting anomalies in ethereum-based blockchain networks

J Rosa-Bilbao, J Boubeta-Puig, J Lagares-Galán… - Computer Standards & …, 2024 - Elsevier
Blockchain is a relatively recent technology that provides immutability, traceability and
transparency of information, thus building trust in the digital society. Blockchain networks …

Addressing the Faults Landscape in the Internet of Things: Toward Datacentric and System Resilience

S Altarrazi, T Szydlo, S Dustdar… - IEEE Internet …, 2023 - ieeexplore.ieee.org
In the Internet of Things (IoT) context, the landscape of weaknesses in the IoT spectrum
sheds light on addressing faults by researchers due to the number of IoT components that …

A comparative study and a new industrial platform for decentralized anomaly detection using machine learning algorithms

F Gerz, TR Bastürk, J Kirchhoff, J Denker… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
The occurrence of anomalies and unexpected, process-related faults is a major problem for
manufacturing systems, which has a significant impact on product quality. Early detection of …

[PDF][PDF] Comprehensive Survey on AI-Based Technologies for Enhancing IoT Privacy and Security: Trends, Challenges, and Solutions

OEL Castro, X Deng, JH Park - HUMAN-CENTRIC COMPUTING AND …, 2023 - hcisj.com
Abstract The Internet of Things (IoT) is revolutionizing modern technology by connecting
numerous devices and applications. However, its lack of standardization has led to security …

Comparative Study on Semi-Supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System

Y Dong, K Chen, Z Ma - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Condition-based maintenance is becoming increasingly important in hydraulic systems.
However, anomaly detection for these systems remains challenging, especially since that …

Internet routing anomaly detection using LSTM based autoencoder

AH Muosa, AH Ali - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The internet is formed by thousands of interconnected Autonomous Systems (ASes). The
Border Gateway Protocol (BGP) exchanges routing information between autonomous …