IMLADS: intelligent maintenance and lightweight anomaly detection system for internet of things

T Qin, B Wang, R Chen, Z Qin, L Wang - Sensors, 2019 - mdpi.com
System security monitoring has become more and more difficult with the ever-growing
complexity and dynamicity of the Internet of Things (IoT). In this paper, we develop an …

Anomaly detection using deep neural network for IoT architecture

Z Ahmad, A Shahid Khan, K Nisar, I Haider, R Hassan… - Applied Sciences, 2021 - mdpi.com
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …

A Host‐Based Anomaly Detection Framework Using XGBoost and LSTM for IoT Devices

X Wang, X Lu - Wireless Communications and Mobile …, 2020 - Wiley Online Library
The Internet of Things (IoT) is rapidly spreading in various application scenarios through its
salient features in ubiquitous device connections, ranging from agriculture and industry to …

Deep Autoencoder-Based Integrated Model for Anomaly Detection and Efficient Feature Extraction in IoT Networks

KA Alaghbari, HS Lim, MHM Saad, YS Yong - IoT, 2023 - mdpi.com
The intrusion detection system (IDS) is a promising technology for ensuring security against
cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and …

Building an anomaly detection engine (ADE) for IoT smart applications

N Mohamudally, M Peermamode-Mohaboob - Procedia computer science, 2018 - Elsevier
Data Analytics is by far the component with more added value in Internet of Things (IoT)
networks. One aspect of data analytics is anomaly detection within data points received in …

Anomaly detection and privacy preservation in cloud-centric internet of things

I Butun, B Kantarci… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Internet of Things (IoT) concept provides a number of opportunities to improve our daily lives
while also creating a potential risk of increasing the vulnerability of personal information to …

Analysis of machine learning algorithms for anomaly detection on edge devices

A Huč, J Šalej, M Trebar - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) consists of small devices or a network of sensors, which
permanently generate huge amounts of data. Usually, they have limited resources, either …

A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems

M Sathya, M Jeyaselvi, L Krishnasamy… - Wireless …, 2021 - Wiley Online Library
The Internet of Things (IoT) is enhancing our lives in a variety of structures, which consists of
smarter cities, agribusiness, and e‐healthcare, among others. Even though the Internet of …

Self-supervised online and lightweight anomaly and event detection for IoT devices

M Abououf, R Mizouni, S Singh… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The increasing number of Internet of Things (IoT) devices and low-cost sensors have
facilitated developments in large-scale monitoring applications. However, the accuracy of …

Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …