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IoT testbed dataset
The IoT testbed dataset contains data from various IoT devices under different attack conditions. -
Device Latency and Accumulation Score Dataset
The dataset used in this paper for device identification, containing device latency measurements and accumulation scores. -
Network Data
Network data collected from smart home devices and IoT devices. -
Serengeti (season 4)
The dataset used in the paper for efficient IoT inference via context-awareness. -
N-BaIoT dataset
The N-BaIoT dataset is a large dataset of network traffic traces from various IoT devices, including botnets. -
DEEVA: A Deep Learning and IoT Based Computer Vision System
A deep learning and IoT based computer vision system to process computer vision and natural language in real time in order to address the safety and security of production sites... -
CICIDS2017
The CICIDS2017 dataset was collected 2 years after the UNSW NB-15 data. The collection took place for a week. On each day attacks such as: Brute Force FTP, Brute Force SSH, DoS,... -
Snap4City Smart City Digital Twin framework
The Snap4City Smart City Digital Twin framework was presented. According to a series of requirements on field interoperability, data and computing for representations, and... -
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...
