On the public citation graph

In-Vehicle Network Attacks and Countermeasures: Challenges and Future Directions

https://doi.org/10.1109/mnet.2017.1600257

0 signed · 292 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-87698-4_21openalex-snapshot

Security Threats to Automotive CAN Networks – Practical Examples and Selected Short-Term Countermeasures

inferredcites →https://doi.org/10.1016/j.ress.2010.06.026openalex-snapshot

Security threats to automotive CAN networks—Practical examples and selected short-term countermeasures

inferredcites →https://doi.org/10.1109/comst.2016.2521642openalex-snapshot

In-Vehicle Networks Outlook: Achievements and Challenges

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/ivs.2008.4621263openalex-snapshot

An approach to specification-based attack detection for in-vehicle networks

inferredcites →https://doi.org/10.1109/jiot.2014.2327587openalex-snapshot

Connected Vehicles: Solutions and Challenges

inferredcites →https://doi.org/10.1109/mnet.2013.6523809openalex-snapshot

Intrusion detection system (IDS) for combating attacks against cognitive radio networks

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/tvt.2008.2010049openalex-snapshot

A Dynamic Anomaly Detection Scheme for AODV-Based Mobile Ad Hoc Networks

inferredcites →https://doi.org/10.1109/vetecf.2008.259openalex-snapshot

Efficient In-Vehicle Delayed Data Authentication Based on Compound Message Authentication Codes

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/10.1155/2007/74706openalex-snapshot

State of the Art: Embedding Security in Vehicles

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/dac.70405openalex-snapshot

Attack Chains Construction for Vehicular Networks Based on a Two‐Dimensional Vulnerability Combination Strategy

inferred← citeshttps://doi.org/10.1002/ett.70133openalex-snapshot

Securing the Road Ahead: A Survey on Internet of Vehicles Security Powered by a Conceptual Blockchain‐Based Intrusion Detection System for Smart Cities

inferred← citeshttps://doi.org/10.1002/spy2.271openalex-snapshot

Security in 5G and beyond recent advances and future challenges

inferred← citeshttps://doi.org/10.1002/widm.1515openalex-snapshot

Machine learning and blockchain technologies for cybersecurity in connected vehicles

inferred← citeshttps://doi.org/10.1007/978-3-030-34353-8_15openalex-snapshot

Analysis of In-vehicle Security System of Smart Vehicles

inferred← citeshttps://doi.org/10.1007/978-3-030-89025-4_3openalex-snapshot

Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

inferred← citeshttps://doi.org/10.1007/978-3-030-90019-9_6openalex-snapshot

MPD: Moving Target Defense Through Communication Protocol Dialects

inferred← citeshttps://doi.org/10.1007/978-3-031-28016-0_14openalex-snapshot

Spatiotemporal Information Based Intrusion Detection Systems for In-Vehicle Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-35308-6_22openalex-snapshot

An Overview of Vehicle OBD-II Port Countermeasures

inferred← citeshttps://doi.org/10.1007/978-3-031-49585-4_11openalex-snapshot

Real-Time Attack Detection in Modern Automobile Controller Area Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-53028-9_5openalex-snapshot

Overview of Security Challenges in Wireless IoT Infrastructures for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1007/978-3-031-69986-3_3openalex-snapshot

Intrusion Detection System Trends: An Overview of Current Advances in IoV & Communication Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-89350-6_12openalex-snapshot

ECU-KM: An Efficient Key Management for In-Vehicle Networks

inferred← citeshttps://doi.org/10.1007/978-3-032-15993-9_16openalex-snapshot

Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating and Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform

inferred← citeshttps://doi.org/10.1007/978-981-13-0212-1_64openalex-snapshot

Survey on Security in Autonomous Cars

inferred← citeshttps://doi.org/10.1007/978-981-16-0882-7_26openalex-snapshot

Adversarial Deep Learning Attacks—A Review

inferred← citeshttps://doi.org/10.1007/978-981-16-2217-5_4openalex-snapshot

An Assessment of Automotive Cyber Security

inferred← citeshttps://doi.org/10.1007/978-981-19-9582-8_56openalex-snapshot

Domain-Specific Anomaly Detection for In-Vehicle Networks

inferred← citeshttps://doi.org/10.1007/978-981-92-3423-3_35openalex-snapshot

A Multi-feature CAN Bus Detection Method Based on Differential Proportion

inferred← citeshttps://doi.org/10.1007/978-981-95-0140-3_38openalex-snapshot

*MTH-IDS—A Multi-tiered Hybrid Intrusion Detection System for Internet of Vehicle

inferred← citeshttps://doi.org/10.1007/978-981-97-6992-6_36openalex-snapshot

Investigating the Reliability of Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communication

inferred← citeshttps://doi.org/10.1007/s10586-022-03821-xopenalex-snapshot

Mitigating voltage fingerprint spoofing attacks on the controller area network bus

inferred← citeshttps://doi.org/10.1007/s10791-025-09696-xopenalex-snapshot

X-GEVON- a novel explainable intelligent network to detect the multiple attacks in vanet systems

inferred← citeshttps://doi.org/10.1007/s10922-021-09630-8openalex-snapshot

AntibotV: A Multilevel Behaviour-Based Framework for Botnets Detection in Vehicular Networks

inferred← citeshttps://doi.org/10.1007/s11042-023-15771-6openalex-snapshot

A lightweight intrusion detection system for internet of vehicles based on transfer learning and MobileNetV2 with hyper-parameter optimization

inferred← citeshttps://doi.org/10.1007/s11227-025-07116-xopenalex-snapshot

GDT-IDS: graph-based decision tree intrusion detection system for controller area network

inferred← citeshttps://doi.org/10.1007/s11227-025-08044-6openalex-snapshot

An intrusion detection system for Internet of Vehicles based on digital twin

inferred← citeshttps://doi.org/10.1007/s11276-022-03084-9openalex-snapshot

PIER: cyber-resilient risk assessment model for connected and autonomous vehicles

inferred← citeshttps://doi.org/10.1007/s12083-020-01054-6openalex-snapshot

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

inferred← citeshttps://doi.org/10.1007/s12083-024-01679-xopenalex-snapshot

LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive

inferred← citeshttps://doi.org/10.1007/s12083-026-02264-0openalex-snapshot

IDS_XGB: Next-Generation Intrusion Detection for Automotive Embedded Systems

inferred← citeshttps://doi.org/10.1007/s41635-024-00150-wopenalex-snapshot

ViSE: Digital Twin Exploration for Automotive Functional Safety and Cybersecurity

inferred← citeshttps://doi.org/10.1016/b978-0-323-99545-0.00012-9openalex-snapshot

Hardware security of autonomous vehicles

inferred← citeshttps://doi.org/10.1016/b978-0-44-329032-9.00016-6openalex-snapshot

Advancing cyber-attack detection for in-vehicle networks: a comparative study of a machine learning-based intrusion detection system

inferred← citeshttps://doi.org/10.1016/b978-0-44-329857-8.00010-9openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1016/j.aap.2020.105837openalex-snapshot

Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions

inferred← citeshttps://doi.org/10.1016/j.adhoc.2018.10.002openalex-snapshot

A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles

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.chaos.2025.117839openalex-snapshot

Traffic jerk effect in connected and autonomous vehicles under cyberattacks

inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107343openalex-snapshot

Secure over-the-air software updates in connected vehicles: A survey

inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107658openalex-snapshot

Truck platoon security: State-of-the-art and road ahead

inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112031openalex-snapshot

A survey of learning-based intrusion detection systems for in-vehicle networks

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2022.108447openalex-snapshot

A deep learning-based intrusion detection system for in-vehicle networks

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110209openalex-snapshot

Open-set security authentication: A novel CAN-bus recognition algorithm based on metric learning

inferred← citeshttps://doi.org/10.1016/j.cose.2020.102150openalex-snapshot

Cybersecurity for autonomous vehicles: Review of attacks and defense

inferred← citeshttps://doi.org/10.1016/j.cose.2022.102717openalex-snapshot

MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach

inferred← citeshttps://doi.org/10.1016/j.cose.2023.103436openalex-snapshot

Bit scanner: Anomaly detection for in-vehicle CAN bus using binary sequence whitelisting

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104017openalex-snapshot

Voltage inspector: Sender identification for in-vehicle CAN bus using voltage slice

inferred← citeshttps://doi.org/10.1016/j.dcan.2023.06.004openalex-snapshot

Evaluating impact of remote-access cyber-attack on lane changes for connected automated vehicles

inferred← citeshttps://doi.org/10.1016/j.ijcip.2024.100724openalex-snapshot

Space cybersecurity challenges, mitigation techniques, anticipated readiness, and future directions

inferred← citeshttps://doi.org/10.1016/j.ijin.2021.07.002openalex-snapshot

RETRACTED: Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future

inferred← citeshttps://doi.org/10.1016/j.ins.2020.06.012openalex-snapshot

Distributed active disturbance rejection control for Ackermann steering of a four-in-wheel motor drive vehicle with deception attacks on controller area networks

inferred← citeshttps://doi.org/10.1016/j.iot.2023.100809openalex-snapshot

Security issues in Internet of Vehicles (IoV): A comprehensive survey

inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102258openalex-snapshot

A hierarchical and secure approach for automotive firmware upgrades

inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104138openalex-snapshot

Digital twins-enabled game theoretical models and techniques for metaverse Connected and Autonomous Vehicles: A survey

inferred← citeshttps://doi.org/10.1016/j.physa.2023.129095openalex-snapshot

Impact of multi-class stochastic cyberattacks on vehicle dynamics and rear-end collision risks for heterogeneous traffic

inferred← citeshttps://doi.org/10.1016/j.physa.2025.130641openalex-snapshot

Macroscopic characteristics of road network traffic flow under delay cyberattacks in a connected vehicle environment

inferred← citeshttps://doi.org/10.1016/j.pmcj.2021.101385openalex-snapshot

A holistic approach to power efficiency in a clock offset based Intrusion Detection Systems for Controller Area Networks

inferred← citeshttps://doi.org/10.1016/j.rineng.2024.103171openalex-snapshot

XAIEnsembleTL-IoV: A new eXplainable Artificial Intelligence ensemble transfer learning for zero-day botnet attack detection in the Internet of Vehicles

inferred← citeshttps://doi.org/10.1016/j.suscom.2023.100936openalex-snapshot

Sustainable and lightweight domain-based intrusion detection system for in-vehicle network

inferred← citeshttps://doi.org/10.1016/j.tbs.2025.101129openalex-snapshot

Vulnerability analysis of urban road traffic network under cyber attacks on ride-hailing platforms

inferred← citeshttps://doi.org/10.1016/j.tranpol.2024.05.002openalex-snapshot

The impact of perceived cyber-risks on automated vehicle acceptance: Insights from a survey of participants from the United States, the United Kingdom, New Zealand, and Australia

inferred← citeshttps://doi.org/10.1016/j.trc.2020.102625openalex-snapshot

Modeling and analyzing cyberattack effects on connected automated vehicular platoons

inferred← citeshttps://doi.org/10.1016/j.vehcom.2019.100214openalex-snapshot

Cybersecurity challenges in vehicular communications

inferred← citeshttps://doi.org/10.1016/j.vehcom.2020.100253openalex-snapshot

A classification of attacks to In-Vehicle Components (IVCs)

inferred← citeshttps://doi.org/10.1016/j.vehcom.2022.100468openalex-snapshot

Systematic threat assessment and security testing of automotive over-the-air (OTA) updates

inferred← citeshttps://doi.org/10.1016/j.vehcom.2022.100548openalex-snapshot

Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures

inferred← citeshttps://doi.org/10.1016/j.vehcom.2023.100639openalex-snapshot

Security assessment of in-vehicle communication protocols

inferred← citeshttps://doi.org/10.1016/j.vehcom.2024.100830openalex-snapshot

IDS-DEC: A novel intrusion detection for CAN bus traffic based on deep embedded clustering

inferred← citeshttps://doi.org/10.1016/j.vehcom.2024.100846openalex-snapshot

In-vehicle communication cyber security: A comprehensive review of challenges and solutions

inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.107481openalex-snapshot

Dynamic event-triggered scheduling and control for vehicle active suspension over controller area network

inferred← citeshttps://doi.org/10.1038/s41598-022-10200-4openalex-snapshot

Multi-attack and multi-classification intrusion detection for vehicle-mounted networks based on mosaic-coded convolutional neural network

inferred← citeshttps://doi.org/10.1049/iet-com.2019.0388openalex-snapshot

Adaptive fuzzy‐based message dissemination and micro‐artificial bee colony algorithm optimised routing scheme for vehicular ad hoc network

inferred← citeshttps://doi.org/10.1049/itr2.12504openalex-snapshot

Cyber security analysis of connected vehicles

inferred← citeshttps://doi.org/10.1080/19393555.2024.2307638openalex-snapshot

Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques

inferred← citeshttps://doi.org/10.1088/1742-6596/2414/1/012014openalex-snapshot

Intrusion Detection System for Internet of Vehicles Based on Ensemble Learning and CNN

inferred← citeshttps://doi.org/10.1109/access.2018.2865169openalex-snapshot

Sliding Window Optimized Information Entropy Analysis Method for Intrusion Detection on In-Vehicle Networks

inferred← citeshttps://doi.org/10.1109/access.2019.2894183openalex-snapshot

Intrusion Detection Systems for Intra-Vehicle Networks: A Review

inferred← citeshttps://doi.org/10.1109/access.2020.3041074openalex-snapshot

Cybersecurity of Smart Electric Vehicle Charging: A Power Grid Perspective

inferred← citeshttps://doi.org/10.1109/access.2021.3050038openalex-snapshot

A Survey on the Current Security Landscape of Intelligent Transportation Systems

inferred← citeshttps://doi.org/10.1109/access.2021.3095962openalex-snapshot

Comparative Performance Evaluation of Intrusion Detection Based on Machine Learning in In-Vehicle Controller Area Network Bus

inferred← citeshttps://doi.org/10.1109/access.2021.3104854openalex-snapshot

Review of the Security of Backward-Compatible Automotive Inter-ECU Communication

inferred← citeshttps://doi.org/10.1109/access.2021.3136147openalex-snapshot

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

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.2022.3208091openalex-snapshot

A Binarized Neural Network Approach to Accelerate in-Vehicle Network Intrusion Detection

inferred← citeshttps://doi.org/10.1109/access.2023.3246497openalex-snapshot

A Study on Threat Analysis and Risk Assessment Based on the “Asset Container” Method and CWSS

inferred← citeshttps://doi.org/10.1109/access.2023.3347619openalex-snapshot

Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning

inferred← citeshttps://doi.org/10.1109/access.2024.3402946openalex-snapshot

Safeguarding the V2X Pathways: Exploring the Cybersecurity Landscape Through Systematic Review

inferred← citeshttps://doi.org/10.1109/access.2024.3437416openalex-snapshot

Intrusion Detection System for Vehicular Networks Based on MobileNetV3

inferred← citeshttps://doi.org/10.1109/access.2025.3539598openalex-snapshot

Data Communication Challenges of Connected and Automated Vehicles in Rural Areas

inferred← citeshttps://doi.org/10.1109/ainit59027.2023.10212629openalex-snapshot

A Physical Fingerprint-Based Intrusion Detection and Localization in Fieldbus Network

inferred← citeshttps://doi.org/10.1109/apec42165.2021.9487077openalex-snapshot

Detection and Diagnosis of Long-Term Cyber-Attacks for Predictive Energy Management System in HEVs

inferred← citeshttps://doi.org/10.1109/ccnc49032.2021.9369569openalex-snapshot

An Adversarial Attack Defending System for Securing In-Vehicle Networks

inferred← citeshttps://doi.org/10.1109/cnml68938.2026.11452324openalex-snapshot

A Multimodal Intrusion Detection Method for Vehicular Networks Based on MobileNet V3 and Transformer

inferred← citeshttps://doi.org/10.1109/comst.2018.2855563openalex-snapshot

A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services

inferred← citeshttps://doi.org/10.1109/comst.2018.2869360openalex-snapshot

Autonomous Cars: Research Results, Issues, and Future Challenges

inferred← citeshttps://doi.org/10.1109/comst.2020.3011561openalex-snapshot

When Machine Learning Meets Privacy in 6G: A Survey

inferred← citeshttps://doi.org/10.1109/comst.2024.3486367openalex-snapshot

A Survey and Comparative Analysis of Security Properties of CAN Authentication Protocols

inferred← citeshttps://doi.org/10.1109/cscwd54268.2022.9776214openalex-snapshot

Multi-layer Reverse Engineering System for Vehicular Controller Area Network Messages

inferred← citeshttps://doi.org/10.1109/csr61664.2024.10679419openalex-snapshot

Adversarial Attacks in Intrusion Detection Systems: Triggering False Alarms in Connected and Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/cvci66304.2025.11348442openalex-snapshot

Cybersecurity Penetration Testing Indicator System and Application for Smart Connected Vehicles

inferred← citeshttps://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00059openalex-snapshot

A Study of The Risk Quantification Method focusing on Direct-Access Attacks in Cyber-Physical Systems

inferred← citeshttps://doi.org/10.1109/dcas57389.2023.10130221openalex-snapshot

Virtualization for Automotive Safety and Security Exploration

inferred← citeshttps://doi.org/10.1109/dsc59305.2023.00040openalex-snapshot

CAKG: A Framework for Cybersecurity Threat Detection of Automotive via Knowledge Graph

inferred← citeshttps://doi.org/10.1109/dsc63484.2024.00054openalex-snapshot

Reliability Measurement Of Vehicle Sensor Data Based On Historical Perception

inferred← citeshttps://doi.org/10.1109/esic60604.2024.10481554openalex-snapshot

An Enhanced Intrusion Detection System Model Using Machine Learning Algorithm

inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10000642openalex-snapshot

Leveraging Byte-Level Features for LSTM-based Anomaly Detection in Controller Area Networks

inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00231openalex-snapshot

A CAN Bus anomaly Detection Based on FLXGBoost Algorithm

inferred← citeshttps://doi.org/10.1109/icaiot57170.2022.10121821openalex-snapshot

Classification of Traffic in 5G Internet of Things Networks: A New Framework

inferred← citeshttps://doi.org/10.1109/icc.2018.8422447openalex-snapshot

An Efficient Anonymous Authentication Scheme for Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/icc.2019.8761744openalex-snapshot

Voltage Based Authentication for Controller Area Networks with Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/icc59461.2026.11587805openalex-snapshot

Signal Rise–Fall Time Based Fingerprinting in CAN Networks

inferred← citeshttps://doi.org/10.1109/iccar64901.2025.11073036openalex-snapshot

Frequency-Enhanced Dual-Domain Attention Network for Automotive Intrusion Detection System

inferred← citeshttps://doi.org/10.1109/icccn65249.2025.11133841openalex-snapshot

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks

inferred← citeshttps://doi.org/10.1109/iccisc52257.2021.9484927openalex-snapshot

Secure Lightweight CAN Protocol Handling Message Loss for Electric Vehicles

inferred← citeshttps://doi.org/10.1109/iccsai59793.2023.10421298openalex-snapshot

Intrusion Detection System for Smart Vehicles Using Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/icdcs54860.2022.00119openalex-snapshot

Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/icecs66544.2025.11270779openalex-snapshot

Methodology for Analyzing the Vehicle System Data of the Onboard Power System Using Machine Learning Models as an Enabler of Data-Driven Development

inferred← citeshttps://doi.org/10.1109/iceem66692.2025.11225261openalex-snapshot

Vehicular Platoon Systems with Visible Light Communication: A Comprehensive Analysis of Architecture, Security Threats, and Research Challenges

inferred← citeshttps://doi.org/10.1109/icetce48199.2020.9091766openalex-snapshot

Deployment and Decentralized Identity Management for VANETs

inferred← citeshttps://doi.org/10.1109/icirca54612.2022.9985609openalex-snapshot

Detection of Cyber Attack in Electric Vehicles using ALSTM based Machine Learning

inferred← citeshttps://doi.org/10.1109/ictcs.2019.8923077openalex-snapshot

Automotive Cybersecurity: Foundations for Next-Generation Vehicles

inferred← citeshttps://doi.org/10.1109/icus58632.2023.10318235openalex-snapshot

Overview of Malicious Information Propagation and Control in Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489689openalex-snapshot

Computational Intelligence and Adaptation in VANETs: Current Research and New Perspectives

inferred← citeshttps://doi.org/10.1109/iolts52814.2021.9486688openalex-snapshot

TAURUM P2T: Advanced Secure CAN-FD Architecture for Road Vehicle

inferred← citeshttps://doi.org/10.1109/iotais53735.2021.9628576openalex-snapshot

Threats and Attacks to Modern Vehicles

inferred← citeshttps://doi.org/10.1109/ismvl.2018.00018openalex-snapshot

Systematic Intrusion Detection Technique for an In-vehicle Network Based on Time-Series Feature Extraction

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917500openalex-snapshot

LEAP: A Lightweight Encryption and Authentication Protocol for In-Vehicle Communications

inferred← citeshttps://doi.org/10.1109/ivs.2018.8500383openalex-snapshot

A Survey of Anomaly Detection for Connected Vehicle Cybersecurity and Safety

inferred← citeshttps://doi.org/10.1109/jiot.2020.2982248openalex-snapshot

Automatic Content Inspection and Forensics for Children Android Apps

inferred← citeshttps://doi.org/10.1109/jiot.2020.3041860openalex-snapshot

Toward Achieving Fine-Grained Access Control of Data in Connected and Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/jiot.2021.3084796openalex-snapshot

MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/jiot.2023.3332947openalex-snapshot

QKBAKA: A Quantum-Key-Based Authentication and Key Agreement Scheme for Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/jiot.2025.3579034openalex-snapshot

FSL-IDS: Federated Semi-Supervised Learning Intrusion Detection System for In-Vehicle Networks

inferred← citeshttps://doi.org/10.1109/jsen.2024.3523345openalex-snapshot

ORADS: One Class Rule-Based Anomaly Detection System in Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/lcn58197.2023.10223397openalex-snapshot

Tree-IDS: An Incremental Intrusion Detection System for Connected Vehicles

inferred← citeshttps://doi.org/10.1109/lcomm.2019.2937097openalex-snapshot

Attacker Identification and Intrusion Detection for In-Vehicle Networks

inferred← citeshttps://doi.org/10.1109/meco55406.2022.9797224openalex-snapshot

In-Vehicle Network Anomaly Detection Using Extreme Gradient Boosting Machine

inferred← citeshttps://doi.org/10.1109/mnet.2018.1700389openalex-snapshot

Vehicle Safety Improvement through Deep Learning and Mobile Sensing

inferred← citeshttps://doi.org/10.1109/mnet.2018.1700392openalex-snapshot

Channel Precoding Based Message Authentication in Wireless Networks: Challenges and Solutions

inferred← citeshttps://doi.org/10.1109/mnet.2018.1800065openalex-snapshot

A Friendly and Low-Cost Technique for Capturing Non-Cooperative Civilian Unmanned Aerial Vehicles

inferred← citeshttps://doi.org/10.1109/msn50589.2020.00082openalex-snapshot

Weighted Local Outlier Factor for Detecting Anomaly on In-Vehicle Network

inferred← citeshttps://doi.org/10.1109/ojcoms.2021.3054066openalex-snapshot

Wireless Communication, Sensing, and REM: A Security Perspective

inferred← citeshttps://doi.org/10.1109/ojvt.2024.3422253openalex-snapshot

Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks

inferred← citeshttps://doi.org/10.1109/qrs-c.2019.00015openalex-snapshot

A Method for Constructing Automotive Cybersecurity Tests, a CAN Fuzz Testing Example

inferred← citeshttps://doi.org/10.1109/taslpro.2025.3533357openalex-snapshot

TTSlow: Slow Down Text-to-Speech With Efficiency Robustness Evaluations

inferred← citeshttps://doi.org/10.1109/tbdata.2022.3227336openalex-snapshot

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

inferred← citeshttps://doi.org/10.1109/tdmr.2022.3157000openalex-snapshot

EXT-TAURUM P2T: An Extended Secure CAN-FD Architecture for Road Vehicles

inferred← citeshttps://doi.org/10.1109/tdsc.2025.3629862openalex-snapshot

One 2 : An Intrusion Detection System for Both Internal and External Vehicular Network From Weak Labeled Data

inferred← citeshttps://doi.org/10.1109/telfor63250.2024.10819049openalex-snapshot

Decentralized Identities for Enhanced Security in Vehicle-to-Everything (V2X)

inferred← citeshttps://doi.org/10.1109/tensymp63728.2025.11144974openalex-snapshot

CAN Bus Anomaly Detection Through Statistical Analysis and Machine Learning

inferred← citeshttps://doi.org/10.1109/tetc.2020.3033532openalex-snapshot

Blockchain-Based Trust Management for Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/tetc.2021.3050733openalex-snapshot

SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine learning

inferred← citeshttps://doi.org/10.1109/tifs.2019.2946933openalex-snapshot

Extensible Conditional Privacy Protection Authentication Scheme for Secure Vehicular Networks in a Multi-Cloud Environment

inferred← citeshttps://doi.org/10.1109/tifs.2021.3056206openalex-snapshot

Reinforcement Learning-Based Physical-Layer Authentication for Controller Area Networks

inferred← citeshttps://doi.org/10.1109/tifs.2022.3217382openalex-snapshot

Asymmetric Symbol and Skew Sender Identification for Automotive Networks

inferred← citeshttps://doi.org/10.1109/tifs.2023.3297444openalex-snapshot

CAN-LOC: Spoofing Detection and Physical Intrusion Localization on an In-Vehicle CAN Bus Based on Deep Features of Voltage Signals

inferred← citeshttps://doi.org/10.1109/tii.2019.2946626openalex-snapshot

Automobile Driver Fingerprinting: A New Machine Learning Based Authentication Scheme

inferred← citeshttps://doi.org/10.1109/tii.2022.3202539openalex-snapshot

TCE-IDS: Time Interval Conditional Entropy- Based Intrusion Detection System for Automotive Controller Area Networks

inferred← citeshttps://doi.org/10.1109/tii.2022.3220862openalex-snapshot

Resilient Filter for State of Charge and Parameter Coestimation With Missing Measurement

inferred← citeshttps://doi.org/10.1109/tii.2023.3283995openalex-snapshot

Control System Level Intrusion Detection on J1939 Heavy-Duty Vehicle Buses

inferred← citeshttps://doi.org/10.1109/tits.2019.2908074openalex-snapshot

A Survey of Intrusion Detection for In-Vehicle Networks

inferred← citeshttps://doi.org/10.1109/tits.2020.3000797openalex-snapshot

Autonomous Vehicle: Security by Design

inferred← citeshttps://doi.org/10.1109/tits.2020.3017882openalex-snapshot

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

inferred← citeshttps://doi.org/10.1109/tits.2020.3038755openalex-snapshot

Location-Based Schemes for Mitigating Cyber Threats on Connected and Automated Vehicles: A Survey and Design Framework

inferred← citeshttps://doi.org/10.1109/tits.2021.3067552openalex-snapshot

A Fault Modeling Based Runtime Diagnostic Mechanism for Vehicular Distributed Control Systems

inferred← citeshttps://doi.org/10.1109/tits.2021.3105834openalex-snapshot

An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/tits.2024.3391372openalex-snapshot

Integrating the Safety Control Against Cyber-Attacks on the Global Information in Coupled Map Car-Following Model Under Connected Vehicles Platoon Environment

inferred← citeshttps://doi.org/10.1109/tits.2024.3419988openalex-snapshot

A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning

inferred← citeshttps://doi.org/10.1109/tits.2025.3567940openalex-snapshot

Vehicular Intrusion Detection System for Controller Area Network: A Comprehensive Survey and Evaluation

inferred← citeshttps://doi.org/10.1109/tiv.2022.3186897openalex-snapshot

A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective

inferred← citeshttps://doi.org/10.1109/tnse.2021.3059881openalex-snapshot

CANintelliIDS: Detecting In-Vehicle Intrusion Attacks on a Controller Area Network Using CNN and Attention-Based GRU

inferred← citeshttps://doi.org/10.1109/tnsm.2024.3394842openalex-snapshot

ECF-IDS: An Enhanced Cuckoo Filter-Based Intrusion Detection System for In-Vehicle Network

inferred← citeshttps://doi.org/10.1109/tte.2020.3022713openalex-snapshot

Cyber–Physical Security of Energy-Efficient Powertrain System in Hybrid Electric Vehicles Against Sophisticated Cyberattacks

inferred← citeshttps://doi.org/10.1109/tte.2020.3044524openalex-snapshot

Cyberattack Detection for Electric Vehicles Using Physics-Guided Machine Learning

inferred← citeshttps://doi.org/10.1109/tte.2021.3102134openalex-snapshot

Attack-Resilient Lateral Stability Control for Four-Wheel-Driven EVs Considering Changed Driver Behavior Under Cyber Threats

inferred← citeshttps://doi.org/10.1109/tte.2024.3362339openalex-snapshot

Battery State of Charge Estimation With Event-Triggered Parameter Identification

inferred← citeshttps://doi.org/10.1109/tvt.2018.2803762openalex-snapshot

Access Point Recruitment in a Vehicular Cognitive Capability Harvesting Network: How Much Data Can Be Uploaded?

inferred← citeshttps://doi.org/10.1109/tvt.2018.2839726openalex-snapshot

A Decomposition Method for MIMO OTA Performance Evaluation

inferred← citeshttps://doi.org/10.1109/tvt.2018.2839979openalex-snapshot

Decentralized and Scalable Privacy-Preserving Authentication Scheme in VANETs

inferred← citeshttps://doi.org/10.1109/tvt.2018.2849577openalex-snapshot

Smart and Robust Speaker Recognition for Context-Aware In-Vehicle Applications

inferred← citeshttps://doi.org/10.1109/tvt.2018.2865012openalex-snapshot

Content Delivery Analysis in Multiple Devices to Single Device Communications

inferred← citeshttps://doi.org/10.1109/tvt.2020.2975822openalex-snapshot

Enhancing Misbehavior Detection in 5G Vehicle-to-Vehicle Communications

inferred← citeshttps://doi.org/10.1109/tvt.2021.3098546openalex-snapshot

Fast and Efficient Group Key Exchange in Controller Area Networks (CAN)

inferred← citeshttps://doi.org/10.1109/tvt.2021.3133308openalex-snapshot

SecCDV: A Security Reference Architecture for Cybertwin-Driven 6G V2X

inferred← citeshttps://doi.org/10.1109/tvt.2023.3307755openalex-snapshot

Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction

inferred← citeshttps://doi.org/10.1109/tvt.2024.3402366openalex-snapshot

IoV-BERT-IDS: Hybrid Network Intrusion Detection System in IoV Using Large Language Models

inferred← citeshttps://doi.org/10.1109/tvt.2025.3570961openalex-snapshot

A Lightweight Voltage-Based ECU Fingerprint Intrusion Detection System for In-Vehicle CAN Bus

inferred← citeshttps://doi.org/10.1109/tvt.2025.3613343openalex-snapshot

An Autoencoder and Double Random Forest-Based Intrusion Detection System for Unknown Attack Defense

inferred← citeshttps://doi.org/10.1109/tvt.2026.3660852openalex-snapshot

HIPCAM: Data Stream-Driven Group Key Management for In-Vehicle Network With Seamless Key Updates

inferred← citeshttps://doi.org/10.1109/vtc2021-spring51267.2021.9449029openalex-snapshot

Resilient Shield: Reinforcing the Resilience of Vehicles Against Security Threats

inferred← citeshttps://doi.org/10.1109/wcnc49053.2021.9417552openalex-snapshot

WSG-InV: Weighted State Graph Model for Intrusion Detection on In-Vehicle Network

inferred← citeshttps://doi.org/10.1109/wcnc57260.2024.10570795openalex-snapshot

Anomaly Detection and Classification for SDN-Enabled In-Vehicle Network Using Network Tomography-Based Deep Learning

inferred← citeshttps://doi.org/10.1109/wcnps65035.2024.10814379openalex-snapshot

CAN-Modes: In-vehicle datasets generation and analysis in different driving situations

inferred← citeshttps://doi.org/10.1109/wfcs.2019.8757968openalex-snapshot

Model-based simulation and threat analysis of in-vehicle networks

inferred← citeshttps://doi.org/10.1145/3369740.3369787openalex-snapshot

COIDS

inferred← citeshttps://doi.org/10.1145/3570954openalex-snapshot

AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey

inferred← citeshttps://doi.org/10.1145/3579856.3595788openalex-snapshot

SPARTA: Signal Propagation-based Attack Recognition and Threat Avoidance for Automotive Networks

showing the first 200 of 279

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.