[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets

A Nazir, J He, N Zhu, A Wajahat, X Ma, F Ullah… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …

Deep learning hybridization for improved malware detection in smart Internet of Things

AA Almazroi, N Ayub - Scientific Reports, 2024 - nature.com
The rapid expansion of AI-enabled Internet of Things (IoT) devices presents significant
security challenges, impacting both privacy and organizational resources. The dynamic …

ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks

BS Ali, I Ullah, T Al Shloul, IA Khan, I Khan… - The Journal of …, 2024 - Springer
The growing volume of data, especially in cases of imbalanced datasets, has posed
significant challenges in the classification process, particularly when it comes to identifying …

Optimising barrier placement for intrusion detection and prevention in WSNs

CKK Reddy, VS Kaza, PR Anisha, MM Khubrani… - Plos one, 2024 - journals.plos.org
This research addresses the pressing challenge of intrusion detection and prevention in
Wireless Sensor Networks (WSNs), offering an innovative and comprehensive approach …

Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture

K Zidi, KB Abdellafou, A Aljuhani, O Taouali… - … Applications of Artificial …, 2024 - Elsevier
Smart farming aims to ameliorate the quantity and quality of farms products using modern
information and communication technologies. Agriculture has always used cutting-edge …

Recurrent neural networks-guided vector-valued synchronized key exchange for secure and privacy-preserving communication in Industrial Internet of Things

A Sarkar - Applied Soft Computing, 2024 - Elsevier
This paper presents an innovative approach to the problem of key exchange in the Industrial
Internet of Things (IIoT) implementation. Recurrent Neural Networks (RNNs) and vector …

Optimal deep-learning-based cyberattack detection in a blockchain-assisted IoT environment

FY Assiri, M Ragab - Mathematics, 2023 - mdpi.com
The Internet of Things (IoT) is the most extensively utilized technology nowadays that is
simple and has the advantage of replacing the data with other devices by employing cloud …

Deep Learning based Network based Intrusion Detection System in Industrial Internet of Things

JAB Angelin, C Priyadharsini - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is the result of integrating the Internet of Things (IoT)
into critical industries, especially in industrial and production settings. The industrial Internet …

A Machine Learning-Based Framework with Enhanced Feature Selection and Resampling for Improved Intrusion Detection

F Malik, Q Waqas Khan, A Rizwan, R Alnashwan… - Mathematics, 2024 - mdpi.com
Intrusion Detection Systems (IDSs) play a crucial role in safeguarding network
infrastructures from cyber threats and ensuring the integrity of highly sensitive data …

A consistent augmented stacking polynomial optimized tool (ASPOT) for improving security of cloud-IoT systems

D Ramachandran, R Chithambaramani… - … in Applied Sciences …, 2024 - semarakilmu.com.my
The cloud computing transforms information technology by offering end users simulated,
flexible resources on demand that require fewer resources and facilities giving them greater …