An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things

K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …

Securing manufacturing using blockchain

Z Jadidi, A Dorri, R Jurdak… - 2020 IEEE 19th …, 2020 - ieeexplore.ieee.org
Due to the rise of Industrial Control Systems (ICSs) cyber-attacks in the recent decade,
various security frameworks have been designed for anomaly detection. While advanced …

Smart home IoT anomaly detection based on ensemble model learning from heterogeneous data

S Tang, Z Gu, Q Yang, S Fu - … Conference on Big Data (Big Data …, 2019 - ieeexplore.ieee.org
Nowadays, internet based home automation is made possible with the advent of intelligent
device control. These electronic sensing devices transfer an enormous amount of data into …

Anomaly detection in IoT environment using machine learning

H Bilakanti, S Pasam, V Palakollu… - Security and …, 2024 - Wiley Online Library
This research paper delves into the security concerns within Internet of Things (IoT)
networks, emphasizing the need to safeguard the extensive data generated by …

[HTML][HTML] IoT botnet anomaly detection using unsupervised deep learning

I Apostol, M Preda, C Nila, I Bica - Electronics, 2021 - mdpi.com
The Internet of Things has become a cutting-edge technology that is continuously evolving
in size, connectivity, and applicability. This ecosystem makes its presence felt in every …

Ensemble learning for detecting attacks and anomalies in IoT smart home

S Khare, M Totaro - 2020 3rd international conference on data …, 2020 - ieeexplore.ieee.org
The expansion of the Internet of Things (IoT) has also given rise to an increasing number of
destructive attacks that pose severe threats to exposed IoT devices. As such, IoT …

Blockchain-based smart-IoT trust zone measurement architecture

J Ali, T Ali, Y Alsaawy, AS Khalid, S Musa - Proceedings of the …, 2019 - dl.acm.org
With a rapid growth in the IT industry, Internet of Things (IoT) has gained a tremendous
attention and become a central aspect of our environment. In IoT the things (devices) …

Generative adversarial network and auto encoder based anomaly detection in distributed IoT networks

T Zixu, KSK Liyanage… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
With the advances in modern communication technologies, the application scale of Internet
of Things (IoT) has evolved at an unprecedented level, which on the other hand poses …

Learning latent representation for IoT anomaly detection

L Vu, QU Nguyen, DN Nguyen… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) has emerged as a cutting-edge technology that is changing human
life. The rapid and widespread applications of IoT, however, make cyberspace more …

Collaborative anomaly detection framework for handling big data of cloud computing

N Moustafa, G Creech, E Sitnikova… - 2017 military …, 2017 - ieeexplore.ieee.org
With the ubiquitous computing of providing services and applications at anywhere and
anytime, cloud computing is the best option as it offers flexible and pay-per-use based …