Improving Reliability for Detecting Anomalies in the MQTT Network by Applying Correlation Analysis for Feature Selection Using Machine Learning Techniques

Improving IoT Security using Lightweight Based Deep Learning Protection Model

(2023) Mahmood Subhy Mahmood et al.   Tikrit Journal of Engineering Sciences

A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content

(2022) Muhammad Zubair Asghar et al.   COMPLEXITY

Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data

(2022) Doyun Kim et al.   SENSORS

FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things

(2022) Othmane Friha et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

An efficient intrusion detection system for MQTT-IoT using enhanced chaotic salp swarm algorithm and LightGBM

(2022) C. Prajisha et al.   International Journal of Information Security

Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks

(2022) Hafsa Benaddi et al.   SENSORS

Correlation between Deep Neural Network Hidden Layer and Intrusion Detection Performance in IoT Intrusion Detection System

(2022) Hyojoon Han et al.   Symmetry-Basel

A machine learning-based intrusion detection for detecting internet of things network attacks

(2022) Yakub Kayode Saheed et al.   Alexandria Engineering Journal

Towards the design of real-time autonomous IoT NIDS

(2021) Alaa Alhowaide et al.   Cluster Computing

Efficient Anomaly Detection for Smart Hospital IoT Systems

(2021) Abdel Mlak Said 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

A Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in IoT Data

(2021) Redhwan Al-amri et al.   Applied Sciences-Basel

A Review of Tabular Data Synthesis Using GANs on an IDS Dataset

(2021) Stavroula Bourou et al.   Information (Switzerland)

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

(2021) Abebe Diro et al.   SENSORS

Effective Anomaly Detection Using Deep Learning in IoT Systems

(2021) Lerina Aversano et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

SlowITe, a Novel Denial of Service Attack Affecting MQTT

(2020) Ivan Vaccari et al.   SENSORS

Efficient Distributed Preprocessing Model for Machine Learning-Based Anomaly Detection over Large-Scale Cybersecurity Datasets

(2020) Xavier Larriva-Novo et al.   Applied Sciences-Basel

Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city

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

Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training

(2020) Inzamam Mashood Nasir et al.   SENSORS

MQTTset, a New Dataset for Machine Learning Techniques on MQTT

(2020) Ivan Vaccari et al.   SENSORS

Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids

(2020) Darshana Upadhyay et al.   IEEE Transactions on Network and Service Management

Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture

(2019) Abhishek Khanna et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Healthchain: A Blockchain-Based Privacy Preserving Scheme for Large-Scale Health Data

(2019) Jie Xu et al.   IEEE Internet of Things Journal

Predicting host CPU utilization in the cloud using evolutionary neural networks

(2018) Karl Mason et al.   Future Generation Computer Systems-The International Journal of eScience

Defending On-Off Attacks using Light Probing Messages in Smart Sensors for Industrial Communication Systems

(2018) Xiao Liu et al.   IEEE Transactions on Industrial Informatics

An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges

(2018) Olakunle Elijah et al.   IEEE Internet of Things Journal

Correlation Analysis to Identify the Effective Data in Machine Learning: Prediction of Depressive Disorder and Emotion States

(2018) Sunil Kumar et al.   International Journal of Environmental Research and Public Health

Secure Signature-Based Authenticated Key Establishment Scheme for Future IoT Applications

(2017) Sravani Challa et al.   IEEE Access

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

(2015) Ala Al-Fuqaha et al.   IEEE Communications Surveys and Tutorials

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Area under Precision-Recall Curves for Weighted and Unweighted Data

(2014) Jens Keilwagen et al.   PLoS One

Decision trees: a recent overview

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW