Detection of real-time malicious intrusions and attacks in IoT empowered cybersecurity infrastructures

IA Kandhro, SM Alanazi, F Ali, A Kehar, K Fatima… - IEEE …, 2023 - ieeexplore.ieee.org
Computer viruses, malicious, and other hostile attacks can affect a computer network.
Intrusion detection is a key component of network security as an active defence technology …

[HTML][HTML] Analysis of IoT security challenges and its solutions using artificial intelligence

T Mazhar, DB Talpur, TA Shloul, YY Ghadi, I Haq… - Brain Sciences, 2023 - mdpi.com
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …

[HTML][HTML] A novel deep supervised learning-based approach for intrusion detection in IoT systems

S Baniasadi, O Rostami, D Martín, M Kaveh - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …

Exploring interpretable and non-interpretable machine learning models for estimating winter wheat evapotranspiration using particle swarm optimization with limited …

X Zhao, L Zhang, G Zhu, C Cheng, J He… - … and Electronics in …, 2023 - Elsevier
Accurate estimation of crop evapotranspiration (ETc) is crucial for improving the water use
efficiency and designing and operating irrigation systems. To accurately calculate winter …

[HTML][HTML] Evaluating neural networks using Bi-Directional LSTM for network IDS (intrusion detection systems) in cyber security

TS Pooja, P Shrinivasacharya - Global Transitions Proceedings, 2021 - Elsevier
An Intrusion detection system is a fundamental layer incorporated in the network system.
Due to enormous amount of traffic in the Network, the attacker waits for the chance to cause …

[HTML][HTML] An intrusion detection and classification system for IoT traffic with improved data engineering

AA Alsulami, Q Abu Al-Haija, A Tayeb, A Alqahtani - Applied Sciences, 2022 - mdpi.com
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …

Big data-aware intrusion detection system in communication networks: a deep learning approach

M Mahdavisharif, S Jamali, R Fotohi - Journal of Grid Computing, 2021 - Springer
One of the most important parameters that hackers have always considered is obtaining
information about the status of computer networks, such as hacking into databases and …

An intrusion detection system using optimized deep neural network architecture

M Ramaiah, V Chandrasekaran… - Transactions on …, 2021 - Wiley Online Library
Internet usage became increasingly ubiquitous. The concern regarding security and privacy
has become essential for Internet users. As the usage of the Internet increases the number …

Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach

B Sharma, L Sharma, C Lal, S Roy - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Things (IoT) is currently seeing tremendous growth due to new
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …

[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review

A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …