A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms

Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

(2021) Yassine Himeur et al.   APPLIED ENERGY

Deep Convolutional Clustering-Based Time Series Anomaly Detection

(2021) Gavneet Singh Chadha et al.   SENSORS

Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review

(2021) Muaadh A. Alsoufi et al.   Applied Sciences-Basel

Digestive neural networks: A novel defense strategy against inference attacks in federated learning

(2021) Hongkyu Lee et al.   COMPUTERS & SECURITY

Federated-Learning-Based Anomaly Detection for IoT Security Attacks

(2021) Viraaji Mothukuri et al.   IEEE Internet of Things Journal

A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings

(2020) Marco Savino Piscitelli et al.   Building Simulation

A framework for anomaly detection and classification in Multiple IoT scenarios

(2020) Francesco Cauteruccio et al.   Future Generation Computer Systems-The International Journal of eScience

Outlier Detection Approaches Based on Machine Learning in the Internet-of-Things

(2020) Jinfang Jiang et al.   IEEE WIRELESS COMMUNICATIONS

Anomaly Detection for IoT Time-Series Data: A Survey

(2020) Andrew A. Cook et al.   IEEE Internet of Things Journal

Leveraging Semisupervised Hierarchical Stacking Temporal Convolutional Network for Anomaly Detection in IoT Communication

(2020) Yongliang Cheng et al.   IEEE Internet of Things Journal

Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

(2020) Yi Liu et al.   IEEE Internet of Things Journal

Anomaly Detection Based on Convolutional Recurrent Autoencoder for IoT Time Series

(2020) Chunyong Yin et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Smart Grid Monitoring Using Power Line Modems: Anomaly Detection and Localization

(2019) Federico Passerini et al.   IEEE Transactions on Smart Grid

Distributed attack detection scheme using deep learning approach for Internet of Things

(2018) Abebe Abeshu Diro et al.   Future Generation Computer Systems-The International Journal of eScience

A Structured Sparse Subspace Learning Algorithm for Anomaly Detection in UAV Flight Data

(2018) Yongfu He et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

An anomaly detection framework for identifying energy theft and defective meters in smart grids

(2018) Sook-Chin Yip et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Residual Error Based Anomaly Detection Using Auto-Encoder in SMD Machine Sound

(2018) Dong Oh et al.   SENSORS

When Intrusion Detection Meets Blockchain Technology: A Review

(2018) Weizhi Meng et al.   IEEE Access

Blockchain Meets IoT: An Architecture for Scalable Access Management in IoT

(2018) Oscar Novo   IEEE Internet of Things Journal

Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance

(2018) Francesco Cauteruccio et al.   Information Fusion

LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data

(2017) Xiangjie Kong et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data

(2017) Ramin Moghaddass et al.   IEEE Transactions on Smart Grid

Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset

(2016) Constantinos Kolias et al.   IEEE Communications Surveys and Tutorials