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An Efficient Intrusion Prevention System for CAN: Hindering Cyber-Attacks With a Low-Cost Platform

https://doi.org/10.1109/access.2021.3136147
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11227-019-02805-wopenalex-snapshot
Unsupervised learning approach for network intrusion detection system using autoencoders
inferredcites →https://doi.org/10.1007/s38314-018-0091-0openalex-snapshot
Security for Connected Vehicles throughout the Entire Life Cycle
inferredcites →https://doi.org/10.1016/j.jnca.2017.02.009openalex-snapshot
A survey of intrusion detection in Internet of Things
inferredcites →https://doi.org/10.1016/j.neucom.2014.05.035openalex-snapshot
Fault detection based on a robust one class support vector machine
inferredcites →https://doi.org/10.1016/j.patcog.2018.07.015openalex-snapshot
Robust one-class support vector machine with rescaled hinge loss function
inferredcites →https://doi.org/10.1016/j.vehcom.2019.100198openalex-snapshot
In-vehicle network intrusion detection using deep convolutional neural network
inferredcites →https://doi.org/10.1109/access.2019.2937576openalex-snapshot
An Intelligent Secured Framework for Cyberattack Detection in Electric Vehicles’ CAN Bus Using Machine Learning
inferredcites →https://doi.org/10.1109/access.2021.3073057openalex-snapshot
WINDS: A Wavelet-Based Intrusion Detection System for Controller Area Network (CAN)
inferredcites →https://doi.org/10.1109/access.2021.3110524openalex-snapshot
Intrusion Detection Method Using Bi-Directional GPT for in-Vehicle Controller Area Networks
inferredcites →https://doi.org/10.1109/comst.2018.2854724openalex-snapshot
From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods
inferredcites →https://doi.org/10.1109/fuzz-ieee.2017.8015464openalex-snapshot
Car hacking identification through fuzzy logic algorithms
inferredcites →https://doi.org/10.1109/icoin.2016.7427089openalex-snapshot
Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network
inferredcites →https://doi.org/10.1109/iscid.2017.202openalex-snapshot
An Improved Data Anomaly Detection Method Based on Isolation Forest
inferredcites →https://doi.org/10.1109/ivs.2017.7995934openalex-snapshot
Anomaly detection of CAN bus messages through analysis of ID sequences
inferredcites →https://doi.org/10.1109/jiot.2020.3024800openalex-snapshot
Intrusion Detection for Cyber–Physical Systems Using Generative Adversarial Networks in Fog Environment
inferredcites →https://doi.org/10.1109/jiot.2021.3084796openalex-snapshot
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
inferredcites →https://doi.org/10.1109/mnet.2017.1600257openalex-snapshot
In-Vehicle Network Attacks and Countermeasures: Challenges and Future Directions
inferredcites →https://doi.org/10.1109/pst.2018.8514157openalex-snapshot
GIDS: GAN based Intrusion Detection System for In-Vehicle Network
inferredcites →https://doi.org/10.1109/sp.2010.34openalex-snapshot
Experimental Security Analysis of a Modern Automobile
inferredcites →https://doi.org/10.1109/tits.2014.2351612openalex-snapshot
A Practical Wireless Attack on the Connected Car and Security Protocol for In-Vehicle CAN
inferredcites →https://doi.org/10.1109/tits.2016.2519464openalex-snapshot
A Practical Security Architecture for In-Vehicle CAN-FD
inferredcites →https://doi.org/10.1109/tits.2017.2665968openalex-snapshot
Cyber Threats Facing Autonomous and Connected Vehicles: Future Challenges
inferredcites →https://doi.org/10.1109/tits.2020.3017882openalex-snapshot
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems
inferredcites →https://doi.org/10.1109/tits.2020.3025685openalex-snapshot
Graph-Based Intrusion Detection System for Controller Area Networks
inferredcites →https://doi.org/10.1109/tvt.2019.2961344openalex-snapshot
SAIDuCANT: Specification-Based Automotive Intrusion Detection Using Controller Area Network (CAN) Timing
inferredcites →https://doi.org/10.1109/tvt.2020.2990417openalex-snapshot
CANeleon : Protecting CAN Bus With Frame ID Chameleon
inferredcites →https://doi.org/10.1109/vetecs.2012.6240294openalex-snapshot
A Method of Preventing Unauthorized Data Transmission in Controller Area Network
inferredcites →https://doi.org/10.1109/vnc48660.2019.9062794openalex-snapshot
A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks
inferredcites →https://doi.org/10.1109/vtcspring.2016.7504089openalex-snapshot
A Novel Intrusion Detection Method Using Deep Neural Network for In-Vehicle Network Security
inferredcites →https://doi.org/10.1109/wcicss.2015.7420322openalex-snapshot
Frequency-based anomaly detection for the automotive CAN bus
inferredcites →https://doi.org/10.1145/1541880.1541882openalex-snapshot
Anomaly detection
inferredcites →https://doi.org/10.1145/2133360.2133363openalex-snapshot
Isolation-Based Anomaly Detection
inferredcites →https://doi.org/10.1145/2542049openalex-snapshot
A survey of intrusion detection techniques for cyber-physical systems
inferredcites →https://doi.org/10.1145/3309171.3309178openalex-snapshot
Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm for Controller Area Network
inferredcites →https://doi.org/10.1145/3338499.3357360openalex-snapshot
Controller Area Network Intrusion Prevention System Leveraging Fault Recovery
inferredcites →https://doi.org/10.1145/3338499.3357362openalex-snapshot
CopyCAN
inferredcites →https://doi.org/10.1145/3369740.3369787openalex-snapshot
COIDS
inferredcites →https://doi.org/10.1186/s13638-019-1484-3openalex-snapshot
Intrusion detection system for automotive Controller Area Network (CAN) bus system: a review
inferredcites →https://doi.org/10.4271/2016-01-0131openalex-snapshot
Architectural Concepts for Fail-Operational Automotive Systems
inferredcites →https://doi.org/10.48550/arxiv.1911.01805openalex-snapshot
A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4658006openalex-extracted
inferred← citeshttps://doi.org/10.1002/9781394196470.ch11openalex-snapshot
Enhancing Security in Cloud Computing Using Artificial Intelligence ( AI )
inferred← citeshttps://doi.org/10.1002/9781394227952.ch10openalex-snapshot
AI at the Physical Layer for Wireless Network Security and Privacy
inferred← citeshttps://doi.org/10.1007/978-3-031-95764-2_17openalex-snapshot
CANTXSec: A Deterministic Intrusion Detection and Prevention System for CAN Bus Monitoring ECU Activations
inferred← citeshttps://doi.org/10.1007/s11277-026-12023-2openalex-snapshot
An Adaptive Wi-Fi Intrusion Prevention System with Zero-Day Resilience and Context-Aware Mitigation
inferred← citeshttps://doi.org/10.1016/j.adhoc.2024.103548openalex-snapshot
Multi-stage deep learning-based intrusion detection system for automotive Ethernet networks
inferred← citeshttps://doi.org/10.1016/j.adhoc.2025.104119openalex-snapshot
A dual layer LSTM-CNN framework for real time and precise per-message intrusion detection in In-vehicle networks
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101804openalex-snapshot
Artificial intelligence for cybersecurity: Literature review and future research directions
inferred← citeshttps://doi.org/10.1049/cmu2.12778openalex-snapshot
A literature review on V2X communications security: Foundation, solutions, status, and future
inferred← citeshttps://doi.org/10.1109/access.2022.3204746openalex-snapshot
Android Head Units vs. In-Vehicle ECUs: Performance Assessment for Deploying In-Vehicle Intrusion Detection Systems for the CAN Bus
inferred← citeshttps://doi.org/10.1109/access.2023.3273904openalex-snapshot
Imperative Node Evaluator With Self Replication Mode for Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/access.2024.3485989openalex-snapshot
Dynamic Attack Detection in IoT Networks: An Ensemble Learning Approach With Q-Learning and Explainable AI
inferred← citeshttps://doi.org/10.1109/access.2025.3551718openalex-snapshot
Design of an Iterative Method Leveraging Deep Q-Networks for Intrusion Detection System Operations
inferred← citeshttps://doi.org/10.1109/asap54787.2022.00023openalex-snapshot
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN
inferred← citeshttps://doi.org/10.1109/asap57973.2023.00033openalex-snapshot
Real-Time Zero-Day Intrusion Detection System for Automotive Controller Area Network on FPGAs
inferred← citeshttps://doi.org/10.1109/cai68641.2026.11536295openalex-snapshot
Detection of Dynamic Frame Alteration in IoT Video Streams
inferred← citeshttps://doi.org/10.1109/ccwc57344.2023.10099276openalex-snapshot
Machine Learning Enabled Intrusion Detection for Edge Devices in the Internet of Things
inferred← citeshttps://doi.org/10.1109/comst.2023.3309864openalex-snapshot
Intrusion Detection in the Automotive Domain: A Comprehensive Review
inferred← citeshttps://doi.org/10.1109/comst.2026.3674515openalex-snapshot
Intrusion Detection and Prevention for Intra- and Inter-Vehicle Networks: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/conit61985.2024.10627115openalex-snapshot
End-to-End Network Traffic Examination for Network Intrusion Detection using Feature Embedding Learning
inferred← citeshttps://doi.org/10.1109/fpl57034.2022.00070openalex-snapshot
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
inferred← citeshttps://doi.org/10.1109/fpl60245.2023.00040openalex-snapshot
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292443openalex-snapshot
Real-Time Detection of Cybercrime and Digital Forensics Automation Using AI-Based Legal Evidence Collection and Preservation Mechanisms
inferred← citeshttps://doi.org/10.1109/icfpt56656.2022.9974508openalex-snapshot
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
inferred← citeshttps://doi.org/10.1109/icfpt67023.2025.00015openalex-snapshot
CAN't Be Hacked: A Decision Tree-Based Intrusion Detection System for CAN Security
inferred← citeshttps://doi.org/10.1109/icfts62006.2025.11031667openalex-snapshot
Blocking Random Network Attacks and Avoiding Network Traffic in Ad Hoc Networks by Using Honeypot Network Security and Intrusion Prevention System
inferred← citeshttps://doi.org/10.1109/iciccs67901.2026.11502731openalex-snapshot
An Adaptive Hybrid Learning Framework for Cyber Threat Identification and Automated Response in Industrial IoT Networks
inferred← citeshttps://doi.org/10.1109/icicnct66124.2025.11232958openalex-snapshot
InsightDefense: Explainable AI for Intrusion Prevention
inferred← citeshttps://doi.org/10.1109/icpcsn58827.2023.00175openalex-snapshot
An Efficient Deep Learning Technique for Intrusion Detection in Wireless Sensor Network
inferred← citeshttps://doi.org/10.1109/icsp62122.2024.10743937openalex-snapshot
The Proactive Approach to Cyber-Attack Prevention: Countermeasures Against Ransomware
inferred← citeshttps://doi.org/10.1109/iecon55916.2024.10906000openalex-snapshot
Cyber-Physical Security Trends of EV Charging Systems: A Survey
inferred← citeshttps://doi.org/10.1109/iemecon69302.2025.11365773openalex-snapshot
Self Replication Mode for Network Intrusion Detection of Imperative Node Evaluator
inferred← citeshttps://doi.org/10.1109/indicon56171.2022.10039777openalex-snapshot
MLAPS: A Machine Learning based Second Line of Defense for Attack Prevention in IoT Network
inferred← citeshttps://doi.org/10.1109/jiot.2023.3299554openalex-snapshot
Essential Technics of Cybersecurity for Intelligent Connected Vehicles: Comprehensive Review and Perspective
inferred← citeshttps://doi.org/10.1109/les.2025.3572858openalex-snapshot
SecCAN: An Extended CAN Controller With Embedded Intrusion Detection
inferred← citeshttps://doi.org/10.1109/tcad.2025.3543431openalex-snapshot
LIDS: A Lightweight Intrusion Detection System for Controller Area Network
inferred← citeshttps://doi.org/10.1109/tccn.2024.3516052openalex-snapshot
A Cloud Collaborative-Based Intrusion Detection and Prevention System for IVN
inferred← citeshttps://doi.org/10.1109/tits.2023.3323622openalex-snapshot
In-Vehicle Network Intrusion Detection System Using CAN Frame-Aware Features
inferred← citeshttps://doi.org/10.1109/tnet.2024.3437432openalex-snapshot
Warmonger Attack: A Novel Attack Vector in Serverless Computing
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3625404openalex-snapshot
RISK-4-Auto: Residually Interconnected and Superimposed Kolmogorov-Arnold Networks for Automotive Network Traffic Classification
inferred← citeshttps://doi.org/10.1186/s13677-026-00878-6openalex-snapshot
A trustworthy cybersecurity model for transparent cyberattack detection using Bald Eagle Search tuned XGBoost and explainable AI
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0131218openalex-snapshot
A Fast and Effective Method for Intrusion Detection using Multi-Layered Deep Learning Networks
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i11.9119openalex-snapshot
Proficient Approach for Intrusion Detection using Behaviour Profiling Algorithm and Prevention Using Statistical Model in Cloud Networks
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i11.9390openalex-snapshot
An Efficient Fuzzy Based Multi Level Clustering Model Using Artificial Bee Colony For Intrusion Detection
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9s.7417openalex-snapshot
Improving Data Transmission Rate with Self Healing Activation Model for Intrusion Detection with Enhanced Quality of Service
inferred← citeshttps://doi.org/10.2139/ssrn.5245678openalex-snapshot
Standardized Process Development and Evaluation of Semi-Supervised Intrusion Detection Systems for In-Vehicular Controller Area Network Communication
inferred← citeshttps://doi.org/10.3390/electronics13132604openalex-snapshot
FSDC: Flow Samples and Dimensions Compression for Efficient Detection of DNS-over-HTTPS Tunnels
inferred← citeshttps://doi.org/10.3390/info15050273openalex-snapshot
Insights into Cybercrime Detection and Response: A Review of Time Factor
inferred← citeshttps://doi.org/10.3390/s23073554openalex-snapshot
Intrusion Detection System CAN-Bus In-Vehicle Networks Based on the Statistical Characteristics of Attacks
inferred← citeshttps://doi.org/10.3390/s24092807openalex-snapshot
A Novel Architecture for an Intrusion Detection System Utilizing Cross-Check Filters for In-Vehicle Networks
inferred← citeshttps://doi.org/10.3390/s25134174openalex-snapshot
Adaptive Autoencoder-Based Intrusion Detection System with Single Threshold for CAN Networks
inferred← citeshttps://doi.org/10.5753/jbcs.2026.6140openalex-snapshot
Learning-Based Intrusion Detection Systems for In-Vehicle CAN Networks: A Comprehensive Survey with Deployment and Real-Time Considerations
inferred← citeshttps://doi.org/10.5753/sbrc.2022.222153openalex-snapshot
Machine Learning-Based Intrusion Detection System for Automotive Ethernet: Detecting Cyber-Attacks with a Low-Cost Platform
inferred← citeshttps://doi.org/10.5753/sbrc.2023.527openalex-snapshot
Multi-Criteria Optimized Deep Learning-based Intrusion Detection System for Detecting Cyberattacks in Automotive Ethernet Networks
inferred← citeshttps://doi.org/10.5753/sbseg.2024.241788openalex-snapshot
Autonomous Network Intrusion Detection for Resource-Constrained Devices of the Internet of Things
inferred← citeshttps://doi.org/10.58496/mjcs/2024/011openalex-snapshot
A Novel Anomaly Intrusion Detection Method based on RNA Encoding and ResNet50 Model
inferred← citeshttps://doi.org/10.7717/peerj-cs.2130openalex-snapshot
Connect attack in IoT-WSN detect through cyclic analysis based on forward and backward elimination
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