[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets
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 …
healthcare and transportation to home automation and industrial control systems. However …
The personal health applications of machine learning techniques in the internet of behaviors
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 …
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
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …
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 …
global food security, public health, and economic stability. However, the increasing …
Cost based Random Forest Classifier for Intrusion Detection System in Internet of Things
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 …
interconnected using Internet for exchange of information and delivery of services. The …
CNN Channel Attention Intrusion Detection System Using NSL-KDD Dataset.
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 …
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 …
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 …
significantly pushed smart city development forward. Intelligent applications have the …
Intelligent detection framework for IoT-botnet detection: DBN-RNN with improved feature set
The pervasive adoption of IoT devices has significantly enhanced connectivity but also
introduced vulnerabilities, particularly through IoT botnets, which exploit compromised …
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 …
also created risks for information security. One notable threat is the domain generated by the …