Internet of things forensics: A review
The rapid growth of Internet of Things (IoT) devices brings countless benefits, but it also
brings new security and forensics challenges. The IoT system with billions of devices …
brings new security and forensics challenges. The IoT system with billions of devices …
An efficient IoT based smart farming system using machine learning algorithms
This paper suggests an IoT based smart farming system along with an efficient prediction
method called WPART based on machine learning techniques to predict crop productivity …
method called WPART based on machine learning techniques to predict crop productivity …
[PDF][PDF] A review on intrusion detection systems to secure IoT networks
AA Anitha, L Arockiam - International Journal of Computer Networks …, 2022 - academia.edu
The Internet of Things (IoT) and its rapid advancements will lead to everything being
connected in the near future. The number of devices connected to the global network is …
connected in the near future. The number of devices connected to the global network is …
Augmented whale feature selection for IoT attacks: Structure, analysis and applications
Smart connected appliances expand the boundaries of the conventional Internet into the
new Internet of Things (IoT). IoT started to hold a significant role in our life, and in several …
new Internet of Things (IoT). IoT started to hold a significant role in our life, and in several …
An efficient and robust watermarking approach based on single value decompression, multi-level DWT, and wavelet fusion with scrambled medical images
EED Hemdan - Multimedia Tools and Applications, 2021 - Springer
This paper offers a medical image watermarking approach based on Wavelet Fusion (WF),
Singular Value Decomposition (SVD), and Multi-Level Discrete Wavelet Transform (M-DWT) …
Singular Value Decomposition (SVD), and Multi-Level Discrete Wavelet Transform (M-DWT) …
Anomaly events classification and detection system in critical industrial internet of things infrastructure using machine learning algorithms
GEI Selim, EZZED Hemdan, AM Shehata… - Multimedia Tools and …, 2021 - Springer
Abstract Industrial Control System is used in the industrial process for reducing the human
factor burden and handling the complex industrial system process and communications …
factor burden and handling the complex industrial system process and communications …
[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) stands as a transformative technology, poised to amplify the …
Machine Learning (ML) stands as a transformative technology, poised to amplify the …
A two-level hybrid model for anomalous activity detection in IoT networks
I Ullah, QH Mahmoud - 2019 16th IEEE Annual Consumer …, 2019 - ieeexplore.ieee.org
In this paper we propose a two-level hybrid anomalous activity detection model for intrusion
detection in IoT networks. The level-1 model uses flow-based anomaly detection, which is …
detection in IoT networks. The level-1 model uses flow-based anomaly detection, which is …
A modified multi-objective particle swarm optimizer-based Lévy flight: An approach toward intrusion detection in Internet of Things
The emerging of the Internet of things (IoT), and more, the advent of the Internet of
everything have revolutionized the computer networks industry. The high diversity of IoT …
everything have revolutionized the computer networks industry. The high diversity of IoT …
Multi-objective particle swarm optimization for botnet detection in internet of things
Nowadays, the world witnesses an immense growth in Internet of things devices. Such
devices are found in smart homes, wearable devices, retail, health care, industry, and …
devices are found in smart homes, wearable devices, retail, health care, industry, and …