LSTM-Markov based efficient anomaly detection algorithm for IoT environment

V Shanmuganathan, A Suresh - Applied Soft Computing, 2023 - Elsevier
The seamless integration of wireless and IoT device in normal day to day life and for smart
homes has enabled more security and privacy needs. The attack or unauthorized access to …

[HTML][HTML] A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms

A Diro, N Chilamkurti, VD Nguyen, W Heyne - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

[PDF][PDF] Investigation on intrusion detection systems (IDSs) in IoT

KK Vaigandla, N Azmi, RK Karne - International Journal of …, 2022 - researchgate.net
In smart environments, comfort and efficiency are important goals in terms of the quality of
human life. Recent developments in Internet of Things (IoT) technology have made it …

Design of anomaly-based intrusion detection system using fog computing for IoT network

P Kumar, GP Gupta, R Tripathi - Automatic Control and Computer …, 2021 - Springer
With increase in the demand for Internet of Things (IoT)-based services, the capability to
detect anomalies such as malicious control, spying and other threats within IoT-based …

Anomaly-based intrusion detection system for IoT networks through deep learning model

T Saba, A Rehman, T Sadad, H Kolivand… - Computers and Electrical …, 2022 - Elsevier
Abstract The Internet of Things (IoT) idea has been developed to enhance people's lives by
delivering a diverse range of smart interconnected devices and applications in several …

Anomaly detection techniques using deep learning in IoT: a survey

B Sharma, L Sharma, C Lal - 2019 International conference on …, 2019 - ieeexplore.ieee.org
IoT technologies is improving life quality by enhancing several real-life smart applications.
IoT includes large number of devices generating huge amount of data which needs large …

Machine learning based anomaly detection for IoT network:(Anomaly detection in IoT network)

NK Sahu, I Mukherjee - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
As the world is leading towards having everything smart, like smart home, smart grid smart
irrigation, there is the major concern of attack and anomaly detection in the Internet of Things …

Anomaly detection model based on gradient boosting and decision tree for IoT environments security

M Douiba, S Benkirane, A Guezzaz… - Journal of Reliable …, 2023 - Springer
Abstract Internet of Things (IoT) refers to the widespread use of distributed intelligent objects
equipped with various components such as captors, activators, and processors that interact …

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 …

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 …