A comprehensive study on cybersecurity challenges and opportunities in the IoT world
It has become possible to link anything and everything to the Internet in recent decades due
to the expanding Internet of Things (IoT). As a result, our usage of technology has changed a …
to the expanding Internet of Things (IoT). As a result, our usage of technology has changed a …
A deep learning methodology for predicting cybersecurity attacks on the internet of things
OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …
objects intensifies cybersecurity threats. The vast communication traffic data between …
[HTML][HTML] Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring
Abstract The application of Deep Neural Networks (DNNs) for monitoring cyberattacks in
Internet of Things (IoT) systems has gained significant attention in recent years. However …
Internet of Things (IoT) systems has gained significant attention in recent years. However …
Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using …
Air quality conditions are now more severe in the Jakarta area that is among the world's top
eight worst cities according to the 2022 Air Quality Index (AQI) report. In particular, the data …
eight worst cities according to the 2022 Air Quality Index (AQI) report. In particular, the data …
[HTML][HTML] A novel abstraction for security configuration in virtual networks
The incessant growth of network virtualization determined the proliferation of Virtual Network
Functions (VNFs), software programs that can run on general-purpose servers and that can …
Functions (VNFs), software programs that can run on general-purpose servers and that can …
IGWO-SoE: Improved grey wolf optimization based stack of ensemble learning algorithm for anomaly detection in internet of things edge computing
J Manokaran, G Vairavel - IEEE Access, 2023 - ieeexplore.ieee.org
With the tremendous growth and popularization of the Internet of Things (IoT), the number of
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …
Depression detection for twitter users using sentiment analysis in English and Arabic tweets
Since depression often results in suicidal thoughts and leaves a person severely disabled
daily, there is an elevated risk of premature mortality due to mental problems caused by …
daily, there is an elevated risk of premature mortality due to mental problems caused by …
[HTML][HTML] Optimisation and economic analysis of industrial-scale anaerobic co-digestion (ACoD) of palm oil mill effluent (POME) and decanter cake (DC) using machine …
The anaerobic co-digestion (ACoD) of palm oil mill effluent (POME) with decanter cake (DC),
has been proposed as a solution to enhance biogas production in industrial-scale anaerobic …
has been proposed as a solution to enhance biogas production in industrial-scale anaerobic …
Empirical enhancement of intrusion detection systems: a comprehensive approach with genetic algorithm-based hyperparameter tuning and hybrid feature selection
Abstract Machine learning-based IDSs have demonstrated promising outcomes in
identifying and mitigating security threats within IoT networks. However, the efficacy of such …
identifying and mitigating security threats within IoT networks. However, the efficacy of such …
Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume
The energy transition to a cleaner environment has been a concern for many researchers
and policy makers, as well as communities and non-governmental organizations. The effects …
and policy makers, as well as communities and non-governmental organizations. The effects …