Unsupervised IoT fingerprinting method via variational auto-encoder and K-means

S Zhang, Z Wang, J Yang, D Bai, F Li… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
With the rapid growth of the number of IoT devices on the Internet, security problems of IoT
devices are becoming more and more serious, which bring more challenges to network …

An iot device identification method based on semi-supervised learning

L Fan, S Zhang, Y Wu, Z Wang, C Duan… - … on Network and …, 2020 - ieeexplore.ieee.org
With the rapid proliferation of IoT devices, device management and network security are
becoming significant challenges. Knowing how many IoT devices are in the network and …

Your smart home can't keep a secret: Towards automated fingerprinting of iot traffic with neural networks

S Dong, Z Li, D Tang, J Chen, M Sun… - arXiv preprint arXiv …, 2019 - arxiv.org
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 …

Pinpointing hidden IoT devices via spatial-temporal traffic fingerprinting

X Ma, J Qu, J Li, JCS Lui, Z Li… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
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 …

DevTag: A benchmark for fingerprinting IoT devices

S Wan, Q Li, H Wang, H Li, L Sun - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Nowadays, various Internet of Things (IoT) devices, such as routers, webcams, and network
printers, have been deployed across the Internet. For security and management purposes, it …

Optimal feature set selection for IoT device fingerprinting on edge infrastructure using machine intelligence

SS Wanode, M Anand, B Mitra - IEEE INFOCOM 2022-IEEE …, 2022 - ieeexplore.ieee.org
The widespread deployment of IoT devices globally has spurred the need for protecting
these devices from various cyber security attacks. IoT device fingerprinting is the method of …

Z-iot: Passive device-class fingerprinting of zigbee and z-wave iot devices

L Babun, H Aksu, L Ryan, K Akkaya… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In addition to traditional networking devices (eg, gateways, firewalls), current corporate and
industrial networks integrate resource-limited Internet of Things (IoT) devices like smart …

Iotfinder: Efficient large-scale identification of iot devices via passive dns traffic analysis

R Perdisci, T Papastergiou, O Alrawi… - 2020 IEEE european …, 2020 - ieeexplore.ieee.org
Being able to enumerate potentially vulnerable IoT devices across the Internet is important,
because it allows for assessing global Internet risks and enables network operators to check …

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 …

Iot device identification via network-flow based fingerprinting and learning

SA Hamad, WE Zhang, QZ Sheng… - 2019 18th IEEE …, 2019 - ieeexplore.ieee.org
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 …