Z-iot: Passive device-class fingerprinting of zigbee and z-wave iot devices
In addition to traditional networking devices (eg, gateways, firewalls), current corporate and
industrial networks integrate resource-limited Internet of Things (IoT) devices like smart …
industrial networks integrate resource-limited Internet of Things (IoT) devices like smart …
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 …
Locality-sensitive iot network traffic fingerprinting for device identification
B Charyyev, MH Gunes - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Engineered systems get smarter with computing capabilities, particularly through a multitude
of Internet-of-Things (IoT) devices. IoT devices, however, are prone to be compromised as …
of Internet-of-Things (IoT) devices. IoT devices, however, are prone to be compromised as …
Iot device identification via network-flow based fingerprinting and learning
Nowadays, increasing number of intelligent devices and smart sensors are connected by
Internet of Things (IoT) techniques, and have helped people to manage and improve their …
Internet of Things (IoT) techniques, and have helped people to manage and improve their …
DEFT: A distributed IoT fingerprinting technique
V Thangavelu, DM Divakaran, R Sairam… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Identifying IoT devices connected to a network has multiple security benefits, such as
deployment of behavior-based anomaly detectors, automated vulnerability patching of …
deployment of behavior-based anomaly detectors, automated vulnerability patching of …
Your smart home can't keep a secret: Towards automated fingerprinting of iot traffic
The IoT (Internet of Things) technology has been widely adopted in recent years and has
profoundly changed the people's daily lives. However, in the meantime, such a fast-growing …
profoundly changed the people's daily lives. However, in the meantime, such a fast-growing …
[HTML][HTML] IoT device identification using directional packet length sequences and 1D-CNN
X Liu, Y Han, Y Du - Sensors, 2022 - mdpi.com
With the large-scale application of the Internet of Things (IoT), security issues have become
increasingly prominent. Device identification is an effective way to secure IoT environment …
increasingly prominent. Device identification is an effective way to secure IoT environment …
Towards the development of a realistic multidimensional IoT profiling dataset
The Internet of Things (IoT) is an emerging technology that enables the development of low-
cost and energy-efficient IoT devices across various solutions from smart cities to healthcare …
cost and energy-efficient IoT devices across various solutions from smart cities to healthcare …
Pinpointing hidden IoT devices via spatial-temporal traffic fingerprinting
With the popularization of Internet of Things (IoT) devices in smart home and industry fields,
a huge number of IoT devices are connected to the Internet. However, what devices are …
a huge number of IoT devices are connected to the Internet. However, what devices are …
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 …