The rise of traffic classification in IoT networks: A survey
With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …
various objects have become a prevalent practice. The huge growth of IoT devices and …
A review on machine learning–based approaches for Internet traffic classification
Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …
approaches have been proposed to classify Internet traffic to manage both security and …
[HTML][HTML] Ensemble machine learning approach for classification of IoT devices in smart home
The emergence of the Internet of Things (IoT) concept as a new direction of technological
development raises new problems such as valid and timely identification of such devices …
development raises new problems such as valid and timely identification of such devices …
A hybrid intrusion detection system based on scalable K-means+ random forest and deep learning
C Liu, Z Gu, J Wang - Ieee Access, 2021 - ieeexplore.ieee.org
Digital assets have come under various network security threats in the digital age. As a kind
of security equipment to protect digital assets, intrusion detection system (IDS) is less …
of security equipment to protect digital assets, intrusion detection system (IDS) is less …
A machine learning based framework for IoT device identification and abnormal traffic detection
Network security is a key challenge for the deployment of Internet of Things (IoT). New
attacks have been developed to exploit the vulnerabilities of IoT devices. Moreover, IoT …
attacks have been developed to exploit the vulnerabilities of IoT devices. Moreover, IoT …
IoT network traffic classification using machine learning algorithms: An experimental analysis
Internet of Things (IoT) refers to a wide variety of embedded devices connected to the
Internet, enabling them to transmit and share information in smart environments with each …
Internet, enabling them to transmit and share information in smart environments with each …
A survey on IoT profiling, fingerprinting, and identification
M Safi, S Dadkhah, F Shoeleh, H Mahdikhani… - ACM Transactions on …, 2022 - dl.acm.org
The proliferation of heterogeneous Internet of things (IoT) devices connected to the Internet
produces several operational and security challenges, such as monitoring, detecting, and …
produces several operational and security challenges, such as monitoring, detecting, and …
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 …
Managing IoT cyber-security using programmable telemetry and machine learning
A Sivanathan, HH Gharakheili… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber-security risks for Internet of Things (IoT) devices sourced from a diversity of vendors
and deployed in large numbers, are growing rapidly. Therefore, management of these …
and deployed in large numbers, are growing rapidly. Therefore, management of these …
[HTML][HTML] A novel multi algorithm approach to identify network anomalies in the IoT using Fog computing and a model to distinguish between IoT and Non-IoT devices
RJ Alzahrani, A Alzahrani - Journal of Sensor and Actuator Networks, 2023 - mdpi.com
Botnet attacks, such as DDoS, are one of the most common types of attacks in IoT networks.
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …