ArticleSensors (Basel, Switzerland)2023
CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed.
- ARFU-IDS: Robust Federated Unlearning for Transformer-Based Intrusion Detection in IoT and Sensor Networks.Sensors (Basel, Switzerland) · 2026Article
- Detecting Unseen IoT Attacks with Calibrated Dual Evidence Under Low False-Positive Budget.Entropy (Basel, Switzerland) · 2026Article
- Lightweight Security-by-Design for TinyML Models in Constrained Embedded Environments.Sensors (Basel, Switzerland) · 2026Article
- Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI.Scientific reports · 2026Article
- XAI-Driven Intrusion Detection for Internet of Things Networks.Sensors (Basel, Switzerland) · 2026Article
- Sequential submodular feature-sample selection for lightweight and update-efficient IoT intrusion detection.Scientific reports · 2026Article
- Liquid neural networks for adaptive DDoS detection in IoT and SDN environments.Scientific reports · 2026Article
- Hybrid Intrusion Detection System with Real-Time Concept Drift Detection for Enhanced IoT Security.Sensors (Basel, Switzerland) · 2026Article
- A resource efficient IoT intrusion detection model using hybrid feature selection for edge computing.Scientific reports · 2026Article
- HeteroEdge: Latency-Aware Adaptive Protocol Parsing with Digital Twin Intelligence for Heterogeneous 5G IoT Edge Networks.Entropy (Basel, Switzerland) · 2026Article
- Non-IID and aware federated intrusion detection with PBFT with secured model aggregation for multi institutional healthcare internet of things networks.Scientific reports · 2026Article
- Design of an AI-based security anomaly detection system for IoT terminals based on the ViT-transformer fusion model.Scientific reports · 2026Article
- A novel multi-stage attack dataset for smart home intrusion detection.Data in brief · 2026Article
- Labelled IoT flow-based network traffic dataset for cyberattack detection.Data in brief · 2026Article
- A Contrastive Dual-Task Framework for Few-Shot Traffic Classification in IoT Networks.Sensors (Basel, Switzerland) · 2026Article
- Blockchain-driven machine learning-enabled intrusion-resilient authenticated key agreement protocol for edge-centric IoT systems.Scientific reports · 2026Article
- Self-defending 6G networks through AI-driven adaptive decoy generation at the edge.Scientific reports · 2026Article
- An Operational Hybrid SIEM Framework for OT Anomaly Detection.Sensors (Basel, Switzerland) · 2026Article
- An Explainable XGBoost-Based Framework for IoT Attack Detection with Unseen Attack Family Evaluation.Sensors (Basel, Switzerland) · 2026Article
- Sensor-Driven Deep Learning for Smart Home Intelligence: Signal Analysis, Multimodal Perception, and System-Level Applications.Sensors (Basel, Switzerland) · 2026Review
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, the Internet of Things (IoT) concept plays a pivotal role in society and brings new capabilities to different industries. The number of IoT solutions in areas such as transportation and healthcare is increasing and new services are under development. In the last decade, society has experienced a drastic increase in IoT connections. In fact, IoT connections will increase in the next few years across different areas. Conversely, several challenges still need to be faced to enable efficient and secure operations (e.g., interoperability, security, and standards). Furthermore, although efforts have been made to produce datasets composed of attacks against IoT devices, several possible attacks are not considered. Most existing efforts do not consider an extensive network topology with real IoT devices. The main goal of this research is to propose a novel and extensive IoT attack dataset to foster the development of security analytics applications in real IoT operations. To accomplish this, 33 attacks are executed in an IoT topology composed of 105 devices. These attacks are classified into seven categories, namely DDoS, DoS, Recon, Web-based, brute force, spoofing, and Mirai. Finally, all attacks are executed by malicious IoT devices targeting other IoT devices. The dataset is available on the CIC Dataset website.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.