[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 …

The personal health applications of machine learning techniques in the internet of behaviors

Z Amiri, A Heidari, M Darbandi, Y Yazdani… - Sustainability, 2023 - mdpi.com
With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
medical and healthcare fields are utilizing machine learning (ML) methodologies in …

A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection

MA Hossain, MS Islam - Scientific Reports, 2023 - nature.com
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …

[HTML][HTML] A Review on Blockchain Applications in Operational Technology for Food and Agriculture Critical Infrastructure

C Zheng, X Peng, Z Wang, T Ma, J Lu, L Chen, L Dong… - Foods, 2025 - mdpi.com
The food and agriculture sector is a cornerstone of critical infrastructure (CI), underpinning
global food security, public health, and economic stability. However, the increasing …

Cost based Random Forest Classifier for Intrusion Detection System in Internet of Things

K Pramilarani, PV Kumari - Applied Soft Computing, 2024 - Elsevier
Abstract Internet of Things (IoT) is the collection of physical and digital devices that are
interconnected using Internet for exchange of information and delivery of services. The …

CNN Channel Attention Intrusion Detection System Using NSL-KDD Dataset.

FS Alrayes, M Zakariah, SU Amin… - Computers …, 2024 - search.ebscohost.com
Intrusion detection systems (IDS) are essential in the field of cybersecurity because they
protect networks from a wide range of online threats. The goal of this research is to meet the …

Insights into Cybercrime Detection and Response: A Review of Time Factor

H Taherdoost - Information, 2024 - mdpi.com
Amidst an unprecedented period of technological progress, incorporating digital platforms
into diverse domains of existence has become indispensable, fundamentally altering the …

AI-based Malware Detection in IoT Networks within Smart Cities: A Survey

MJM Alhamdi, JM Lopez-Guede, J AlQaryouti… - Computer …, 2025 - Elsevier
The exponential expansion of Internet of Things (IoT) applications in smart cities has
significantly pushed smart city development forward. Intelligent applications have the …

Intelligent detection framework for IoT-botnet detection: DBN-RNN with improved feature set

SY Bobade, RS Apare, RH Borhade… - Journal of Information …, 2025 - Elsevier
The pervasive adoption of IoT devices has significantly enhanced connectivity but also
introduced vulnerabilities, particularly through IoT botnets, which exploit compromised …

Uit-DGAdetector: detect domains generated by algorithms using machine learning

NT Cam, NN Man - Cluster Computing, 2024 - Springer
Recent developments in information technology have brought numerous benefits but have
also created risks for information security. One notable threat is the domain generated by the …