Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-Based Feature Selection and Its Performance Evaluation

No abstract is available for this paper.

• Publication year

  2019

• Venue

  International Conference on Advanced Information Networking and Applications

• Publication date

  2019-03-15

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/978-3-030-15032-7_39
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• HyINT: Signature-Anomaly Intrusion Detection System

  2018cited by this paper
• Feature Selection for Machine Learning-Based Early Detection of Distributed Cyber Attacks

  2018cited by this paper
• Poster Abstract: Real-Time DDoS Detection Based on Complex Event Processing for IoT

  2018cited by this paper
• The security of RFID readers with IDS/IPS solution using Raspberry Pi

  2017cited by this paper
• An Automata Based Intrusion Detection Method for Internet of Things

  2017cited by this paper
• An efficient approach to prevent Battery Exhaustion Attack on BLE-based mesh networks

  2017cited by this paper
• Enabling Risk Management for Smart Infrastructures with an Anomaly Behavior Analysis Intrusion Detection System

  2017cited by this paper
• Tracking intruders in IoT networks by means of DNS traffic analysis

  2017cited by this paper
• RPiDS: Raspberry Pi IDS — A Fruitful Intrusion Detection System for IoT

  2016cited by this paper
• Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things

  2015cited by this paper
• UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)

  2015cited by this paper
• A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data

  2015cited by this paper
• Pi-IDS: evaluation of open-source intrusion detection systems on Raspberry Pi 2

  2015cited by this paper
• The Significant Features of the UNSW-NB15 and the KDD99 Data Sets for Network Intrusion Detection Systems

  2015cited by this paper
• Data Mining Practical Machine Learning Tools and Techniques

  2014cited by this paper
• Performance Comparison between Naïve Bayes, Decision Tree and k-Nearest Neighbor in Searching Alternative Design in an Energy Simulation Tool

  2013cited by this paper
• A Behavior-based Method for Detecting Distributed Scan Attacks in Darknets

  2013cited by this paper
• An Introduction to Feature Selection

  2013cited by this paper
• Correlation-based Feature Selection for Machine Learning

  2003cited by this paper
• The UCI KDD archive of large data sets for data mining research and experimentation

  2000cited by this paper
• Wrappers for Feature Subset Selection

  1997cited by this paper
• Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology

  1995cited by this paper

• AI for IoMT security: a comprehensive survey of intrusion detection and system architectures

  2026cites this paper
• Heuristic-Guided Selective Random Forests: Immune-Inspired Heuristic Ensembles for Robust Intrusion Detection in IoT Networks

  2026cites this paper
• An Optimized Multiclass Machine Learning Approach for Detecting Advanced Intrusions in IoT Systems

  2026cites this paper
• DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models

  2025cites this paper
• Collaborative intrusion detection in resource-constrained IoT environments: Challenges, methods, and future directions a review

  2025cites this paper
• Using Deep Learning an Effiecient Bot Attack Detection Methods

  2025cites this paper
• Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development

  2025cites this paper
• A Dual-Approach Intrusion Detection System for IoT: Comparative Insights from XGBoost and K-Means Clustering

  2025cites this paper
• Internet of Things Network Security with Intrusion Prevention System Based on SnortML Machine Learning

  2025cites this paper
• An intelligent anomaly detection system for IoT using a hybrid metaheuristic evolutionary strategy

  2025cites this paper
• Enhancing Network Anomaly Intrusion Detection with IoT Data-Driven BOA-CNN-BiGRU-AAM -Net Classification

  2024cites this paper
• Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

  2024influential citation
• An efficient security framework for intrusion detection and prevention in internet-of-things using machine learning technique

  2024cites this paper
• IDC-insight: boosting intrusion detection accuracy in IoT networks with Naïve Bayes and multiple classifiers

  2024cites this paper
• Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things

  2024cites this paper
• A Lightweight Cooperative Intrusion Detection System for RPL-based IoT

  2024cites this paper
• Intrusion detection system extended CNN and artificial bee colony optimization in wireless sensor networks

  2024cites this paper
• Enhancing DDoS Attack Detection and Prevention using CNN-LSTM Hybrid Model for Improved Network Security

  2024cites this paper
• Securing IoT-Edge Networks: Federated Deep Learning for Botnet Detection

  2023cites this paper
• A Deep Subdomain Adaptation Network With Attention Mechanism for Malware Variant Traffic Identification at an IoT Edge Gateway

  2023cites this paper
• Collaborative device-level botnet detection for internet of things

  2023cites this paper
• A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks

  2023cites this paper
• A Survey on Feature Selection Techniques Based on Filtering Methods for Cyber Attack Detection

  2023cites this paper
• Study of Network IDS in IoT devices

  2023cites this paper
• Design and implementation of intelligent packet filtering in IoT microcontroller-based devices

  2023cites this paper
• Computer Vision-Based Intrusion Detection System for Internet of Things

  2023cites this paper
• An intrusion detection system based on stacked ensemble learning for IoT network

  2023cites this paper
• Garbage Classification Using Deep Learning

  2023cites this paper
• SmartHealth: An intelligent framework to secure IoMT service applications using machine learning

  2023cites this paper
• Performance Evaluation of Intelligent Packet Filtering in Single-board Mini-computer Devices

  2023cites this paper
• A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks

  2023cites this paper
• A Comparative Analysis of Malicious Traffic Detection in IoT Network using Machine Learning Algorithms

  2023cites this paper
• Malicious Traffic Detection Framework in Internet of Things Using Optimized Linearly Regressed Deep CNN Classifier

  2023cites this paper
• Implementação de um filtro de pacotes inteligente para dispositivos de Internet das Coisas

  2022cites this paper
• Deep Learning based DDoS Attack Detection in Emerging Networks

  2022cites this paper
• CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

  2021cites this paper
• Lightweight Intrusion Detection System In IoT Networks Using Raspberry pi 3b+

  2021cites this paper
• A lightweight Anomaly based DDoS flood attack detection for Internet of vehicles

  2021cites this paper
• DISCOVERING UNKNOWN BOTNET ATTACKS ON IOT DEVICES USING SUPERVISED SHALLOW AND DEEP LEARNING CLASSIFIERS

  2021cites this paper
• A Review of Intrusion Detection Systems: Datasets and machine learning methods

  2021cites this paper
• Classifier Performance Evaluation for Lightweight IDS Using Fog Computing in IoT Security

  2021cites this paper
• Selection of Tree Based Ensemble Classifier for Detecting Network Attacks in IoT

  2021cites this paper
• Deep Learning-Based Mobile Application Design for Smart Parking

  2021cites this paper
• Study of Machine Learning for Cloud Assisted IoT Security as a Service

  2021cites this paper
• Design and Implementation of virtual simulation experiment platform for computer specialized courses

  2020cites this paper
• Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city

  2020cites this paper
• IoT malicious traffic identification using wrapper-based feature selection mechanisms

  2020cites this paper
• Lightweight Convolutional Neural Network Based Intrusion Detection System

  2020cites this paper
• Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture †

  2020influential citation
• Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features

  2020cites this paper
• Botnet Attack Detection in IOT Networks using Deep Learning

  year unknowncites this paper