IoTTFID: an incremental IoT device identification model based on traffic fingerprint

Q Hao, Z Rong - IEEE Access, 2023 - ieeexplore.ieee.org
Driven by 5G communication technology, IoT devices are widely deployed in various
scenarios to provide automated services. However, a large number of IoT devices cannot …

Content-aware network traffic prediction framework for quality of service-aware dynamic network resource management

WA Aziz, I Ioannou, M Lestas, HK Qureshi… - IEEE …, 2023 - ieeexplore.ieee.org
Next-generation mobile networks, such as Fifth-Generation (5G), and Sixth-Generation (6G)
are envisioned to undergo an unprecedented transformation from connected things to …

IoTDevID: A behavior-based device identification method for the IoT

K Kostas, M Just, MA Lones - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Device identification (DI) is one way to secure a network of Internet of Things (IoT) devices,
whereby devices identified as suspicious can subsequently be isolated from a network. In …

Lightweight machine learning classifiers of IoT traffic flows

RF Bikmukhamedov, AF Nadeev - 2019 Systems of Signal …, 2019 - ieeexplore.ieee.org
IoT traffic flows have different from traditional devices statistics and their classification
become an important task because of the exponentially growing number of smart devices …

ML-Based Traffic Classification in an SDN-Enabled Cloud Environment

O Belkadi, A Vulpe, Y Laaziz, S Halunga - Electronics, 2023 - mdpi.com
Traffic classification plays an essential role in network security and management; therefore,
studying traffic in emerging technologies can be useful in many ways. It can lead to …

An efficient approach for device identification and traffic classification in IoT ecosystems

MRP Santos, RMC Andrade, DG Gomes… - … IEEE Symposium on …, 2018 - ieeexplore.ieee.org
Internet of Things arises as a computational paradigm that promotes the interconnection of
objects to the Internet and enables interaction, operational efficiency, and communication …

Automated iot device identification based on full packet information using real-time network traffic

N Yousefnezhad, A Malhi, K Främling - Sensors, 2021 - mdpi.com
In an Internet of Things (IoT) environment, a large volume of potentially confidential data
might be leaked from sensors installed everywhere. To ensure the authenticity of such …

Inferring iot device types from network behavior using unsupervised clustering

A Sivanathan, HH Gharakheili… - 2019 IEEE 44th …, 2019 - ieeexplore.ieee.org
The Internet-of-Things (IoT) is increasingly becoming a major challenge for network
administrators to monitor and manage connected devices and sensors, ranging from smart …

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 …

Identifying IoT devices and events based on packet length from encrypted traffic

AJ Pinheiro, JM Bezerra, CAP Burgardt… - Computer …, 2019 - Elsevier
Recently, machine learning algorithms have been used to identify Internet of Things (IoT)
devices and events. However, existing proposals may inspect the packet payload, what …