A survey on IoT profiling, fingerprinting, and identification
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 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 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 …
Transferability of machine learning algorithm for IoT device profiling and identification
The lack of appropriate cyber security measures deployed on Internet of Things (IoT) makes
these devices prone to security issues. Consequently, the timely identification and detection …
these devices prone to security issues. Consequently, the timely identification and detection …
Role of device identification and manufacturer usage description in iot security: A survey
This paper presents an overview of device identification techniques and the Manufacturer
Usage Description (MUD) standard used for the Internet of things to reduce the IoT attack …
Usage Description (MUD) standard used for the Internet of things to reduce the IoT attack …
A deep learning approach for classifying network connected IoT devices using communication traffic characteristics
Abstract The Internet of Things can be considered a technological revolution and has
successfully merged the physical world with the digital world. However, heterogeneous IoT …
successfully merged the physical world with the digital world. However, heterogeneous IoT …
Smart recon: Network traffic fingerprinting for iot device identification
The ubiquity of IoT devices in both public and private networks has increased dramatically in
the last few years with billions of network connected devices appearing in every sector. In …
the last few years with billions of network connected devices appearing in every sector. In …
ByteIoT: A practical IoT device identification system based on packet length distribution
A tremendous amount of Internet-of-Things (IoT) devices have been deployed in recent
years, bringing new challenges for network management and cyber security. It is important …
years, bringing new challenges for network management and cyber security. It is important …
AutoIoT: Automatically Updated IoT Device Identification With Semi-Supervised Learning
IoT devices bring great convenience to a person's life and industrial production. However,
their rapid proliferation also troubles device management and network security. Network …
their rapid proliferation also troubles device management and network security. Network …
A generic machine learning approach for IoT device identification
The rapidly prevailing Internet of Things (IoT) devices in numerous sectors, may jeopardize
a vast amount of confidential data, raising threats to network security. Thereby, it is crucial to …
a vast amount of confidential data, raising threats to network security. Thereby, it is crucial to …