Papers IoT Device Identification
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UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security
As modern networks grow increasingly complex--driven by diverse devices, encrypted protocols, and evolving threats--network traffic analysis has become critically important. Existing machine learning models often rely on…
Anomaly DetectionIoT Device IdentificationGeMID: Generalizable Models for IoT Device Identification
With the proliferation of Internet of Things (IoT) devices, ensuring their security has become paramount. Device identification (DI), which distinguishes IoT devices based on their traffic patterns, plays a crucial role …
Classificationfeature selectionIoT Device IdentificationModel SelectionLeveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts
Identifying IoT devices is crucial for network monitoring, security enforcement, and inventory tracking. However, most existing identification methods rely on deep packet inspection, which raises privacy concerns and add…
IoT Device IdentificationDiscretization-based ensemble model for robust learning in IoT
IoT device identification is the process of recognizing and verifying connected IoT devices to the network. This is an essential process for ensuring that only authorized devices can access the network, and it is necessa…
IoT Device IdentificationManagementLSTM based IoT Device Identification
While the use of the Internet of Things is becoming more and more popular, many security vulnerabilities are emerging with the large number of devices being introduced to the market. In this environment, IoT device ident…
IoT Device IdentificationCNN based IoT Device Identification
While the use of the Internet of Things is becoming more and more popular, many security vulnerabilities are emerging with the large number of devices being introduced to the market. In this environment, IoT device ident…
IoT Device IdentificationIoT Device Identification Based on Network Communication Analysis Using Deep Learning
Attack vectors for adversaries have increased in organizations because of the growing use of less secure IoT devices. The risk of attacks on an organization's network has also increased due to the bring your own device (…
Feature EngineeringIoT Device IdentificationAdversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
In the last years, the number of IoT devices deployed has suffered an undoubted explosion, reaching the scale of billions. However, some new cybersecurity issues have appeared together with this development. Some of thes…
IoT Device IdentificationIoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification
With the proliferation of IoT devices, researchers have developed a variety of IoT device identification methods with the assistance of machine learning. Nevertheless, the security of these identification methods mostly …
BIG-bench Machine LearningIoT Device IdentificationRapid IoT Device Identification at the Edge
Consumer Internet of Things (IoT) devices are increasingly common in everyday homes, from smart speakers to security cameras. Along with their benefits come potential privacy and security threats. To limit these threats …
IoT Device IdentificationRevisiting IoT Device Identification
Internet-of-Things (IoT) devices are known to be the source of many security problems, and as such, they would greatly benefit from automated management. This requires robustly identifying devices so that appropriate net…
IoT Device IdentificationManagementMapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Even though machine learning algorithms already play a significant role in data science, many current methods pose unrealistic assumptions on input data. The application of such methods is difficult due to incompatible d…
IoT Device IdentificationIoTDevID: A Behavior-Based Device Identification Method for the IoT
Device identification is one way to secure a network of IoT devices, whereby devices identified as suspicious can subsequently be isolated from a network. In this study, we present a machine learning-based method, IoTDev…
Data Augmentationfeature selectionIoT Device IdentificationMulti-class ClassificationMachine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a variety of emerging services and applications. However, the presence of rogue IoT devices has exposed the IoT to untold risks wi…
Anomaly DetectionBIG-bench Machine LearningContinual LearningFeature Engineering+1The Case for Retraining of ML Models for IoT Device Identification at the Edge
Internet-of-Things (IoT) devices are known to be the source of many security problems, and as such they would greatly benefit from automated management. This requires robustly identifying devices so that appropriate netw…
IoT Device IdentificationManagementNetwork Traffic Analysis based IoT Device Identification
Device identification is the process of identifying a device on Internet without using its assigned network or other credentials. The sharp rise of usage in Internet of Things (IoT) devices has imposed new challenges in …
Genre classificationIoT Device IdentificationZero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices
The Internet of Things (IoT) provides applications and services that would otherwise not be possible. However, the open nature of IoT make it vulnerable to cybersecurity threats. Especially, identity spoofing attacks, wh…
IoT Device IdentificationIoT Device Identification Using Deep Learning
The growing use of IoT devices in organizations has increased the number of attack vectors available to attackers due to the less secure nature of the devices. The widely adopted bring your own device (BYOD) policy which…
Deep LearningFeature EngineeringIoT Device Identification