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Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent...
The dataset used in this paper is a collection of IoT devices with various protocols and networking architectures. -
IoT Device Identification Dataset
The dataset is used for IoT device identification task. It contains JSON documents describing IoT devices. -
Internet-of-Things Architectures for Secure Cyber-Physical Spaces: the VISOR ...
The Paaspop dataset is a collection of data from a field study on IoT architectures for secure cyber-physical spaces. -
Experimental evaluation of ambient backscatter communications with massive MI...
Experimental evaluation of ambient backscatter communications with massive MIMO reader -
LoRa-based Over-the-Air Computing for Sat-IoT
Satellite Internet of Things (Sat-IoT) dataset, using LoRa modulation for estimation in a Sat-IoT scenario -
IoT Agents Variability
The dataset used in the paper is a set of IoT agents with varying physical components, software behaviors, and environmental conditions. -
SRE: Semantic Rules Engine For the Industrial Internet-of-Things Gateways
The Semantic Rules Engine (SRE) for industrial gateways is presented that allows implementing dynamic and flexible rule-based control strategies. -
Smart Hospital IoT System Dataset
The dataset used in this paper is a collection of data from various sensors, including LoRa, Wi-Fi, and UWB devices. The data includes indoor positioning, ECG signal detection,... -
Device Latency and Accumulation Score Dataset
The dataset used in this paper for device identification, containing device latency measurements and accumulation scores. -
Federated Learning for Internet of Things
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence... -
Perils of Zero-Interaction Security in the Internet of Things
The dataset contains over 4250 hours of audio recordings and 1 billion sensor readings from three different scenarios: a connected car, smart office, and smart office with... -
New Normal: Cooperative Paradigm for Covid-19
The proposed scheme uses IoT based health monitoring and CNN based object detection methods to detect social distancing violations and track exposed or infected people. -
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based...
The proposed deep transfer learning-based dependable IDS model uses a deep transfer learning-based residual neural network (P-ResNet) IDS that can train efficiently using only a...