Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …
and gleaning valuable information from network traffic. It can be applied in various fields …
An experimental analysis of attack classification using machine learning in IoT networks
In recent years, there has been a massive increase in the amount of Internet of Things (IoT)
devices as well as the data generated by such devices. The participating devices in IoT …
devices as well as the data generated by such devices. The participating devices in IoT …
A survey on device fingerprinting approach for resource-constraint IoT devices: comparative study and research challenges
RR Chowdhury, PE Abas - Internet of Things, 2022 - Elsevier
Modernization and technological advancement have made smart and convenient living
environments, including smart houses and smart cities, possible, by combining the Internet …
environments, including smart houses and smart cities, possible, by combining the Internet …
A survey of AI-based anomaly detection in IoT and sensor networks
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly
detection (AD). With the rapid increase in the number of Internet-connected devices, the …
detection (AD). With the rapid increase in the number of Internet-connected devices, the …
[HTML][HTML] A survey of identity recognition via data fusion and feature learning
With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …
variety of applications put forward an urgent demand for user and device identity …
Transfer learning using CNN for handwritten devanagari character recognition
This paper presents an analysis of pre-trained models to recognize handwritten Devanagari
alphabets using transfer learning for Deep Convolution Neural Network (DCNN). This …
alphabets using transfer learning for Deep Convolution Neural Network (DCNN). This …
A survey of smart home iot device classification using machine learning-based network traffic analysis
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …
A deep learning approach for IoT traffic multi-classification in a smart-city scenario
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …
the IoT access networks is considerably stressed. This can create significant performance …
Deep Learning‐Based Security Behaviour Analysis in IoT Environments: A Survey
Internet of Things (IoT) applications have been used in a wide variety of domains ranging
from smart home, healthcare, smart energy, and Industrial 4.0. While IoT brings a number of …
from smart home, healthcare, smart energy, and Industrial 4.0. While IoT brings a number of …
Edge device identification based on federated learning and network traffic feature engineering
With the ubiquitous deployment and applications of Internet of Things (IoT), security issues
pose a critical challenge to IoT devices. External attackers often utilize vulnerable IoT …
pose a critical challenge to IoT devices. External attackers often utilize vulnerable IoT …