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Machine learning and blockchain technologies for cybersecurity in connected vehicles

https://doi.org/10.1002/widm.1515
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1 of the 200 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1111/exsy.13113 (notice 2024-11-04).

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

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SEBAP: A secure and efficient biometric‐assisted authentication protocol using ECC for vehicular cloud computing
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A taxonomy of blockchain envisioned edge‐as‐a‐connected autonomous vehicles
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A survey on the blockchain techniques for the Internet of Vehicles security
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Privacy preserving big data analytics: A critical analysis of state‐of‐the‐art
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Privacy protection in smart meters using homomorphic encryption: An overview
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Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions
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Secure In-Vehicle Communication
inferredcites →https://doi.org/10.1007/978-3-030-30508-6_54openalex-snapshot
Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples
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Green ICT Communication, Networking and Data Processing
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One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time
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Adversarial Attacks and Defences Competition
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A Data Mining Based Intrusion Detection Model
inferredcites →https://doi.org/10.1007/978-3-540-79966-5_8openalex-snapshot
Using TPMs to Secure Vehicular Ad-Hoc Networks (VANETs)
inferredcites →https://doi.org/10.1007/978-3-642-11723-7_11openalex-snapshot
SPECS: Secure and Privacy Enhancing Communications Schemes for VANETs
inferredcites →https://doi.org/10.1007/978-3-642-38631-2_8openalex-snapshot
Information-Oriented Trustworthiness Evaluation in Vehicular Ad-hoc Networks
inferredcites →https://doi.org/10.1007/s11276-022-03084-9openalex-snapshot
PIER: cyber-resilient risk assessment model for connected and autonomous vehicles
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Vulnerabilities of Android OS-Based Telematics System
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Multiple classifier systems for robust classifier design in adversarial environments
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A federated learning framework for cyberattack detection in vehicular sensor networks
inferredcites →https://doi.org/10.1016/b978-0-12-809715-1.00006-7openalex-snapshot
Security and Data Privacy of Modern Automobiles
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A mechanism to enforce privacy in vehicle-to-infrastructure communication
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106646openalex-snapshot
Survey on blockchain-based applications in internet of vehicles
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106717openalex-snapshot
Blockchain-based security attack resilience schemes for autonomous vehicles in industry 4.0: A systematic review
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106722openalex-snapshot
Blockchain-empowered decentralised trust management for the Internet of Vehicles security
inferredcites →https://doi.org/10.1016/j.cose.2020.102150openalex-snapshot
Cybersecurity for autonomous vehicles: Review of attacks and defense
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A survey on security attacks and defense techniques for connected and autonomous vehicles
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Attacks and defences on intelligent connected vehicles: a survey
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Adversarial Attacks and Defenses in Deep Learning
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An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks
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TRIP, a trust and reputation infrastructure-based proposal for vehicular ad hoc networks
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A data mining approach to deriving safety policy implications for taxi drivers
inferredcites →https://doi.org/10.1016/j.vehcom.2019.100214openalex-snapshot
Cybersecurity challenges in vehicular communications
inferredcites →https://doi.org/10.1049/cp.2018.0046openalex-snapshot
Cyber Security Standards and Issues in V2X Communications for Internet of Vehicles
inferredcites →https://doi.org/10.1049/cp.2019.0142openalex-snapshot
Key Security Challenges for Cloud-assisted Connected and Autonomous Vehicles
inferredcites →https://doi.org/10.1109/access.2016.2645452openalex-snapshot
Trust Management for Vehicular Networks: An Adversary-Oriented Overview
inferredcites →https://doi.org/10.1109/access.2018.2853985openalex-snapshot
Security and Privacy in Smart Cities: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/access.2018.2854567openalex-snapshot
An Efficient SDN-Based DDoS Attack Detection and Rapid Response Platform in Vehicular Networks
inferredcites →https://doi.org/10.1109/access.2019.2895302openalex-snapshot
A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry
inferredcites →https://doi.org/10.1109/access.2019.2903597openalex-snapshot
A Three-Tier Architecture for Securing IoV Communications Using Vehicular Dependencies
inferredcites →https://doi.org/10.1109/access.2019.2919760openalex-snapshot
Secure Firmware Updates for Constrained IoT Devices Using Open Standards: A Reality Check
inferredcites →https://doi.org/10.1109/access.2019.2928000openalex-snapshot
Application of Hash Function on FMCW Based Millimeter-Wave Radar Against DRFM Jamming
inferredcites →https://doi.org/10.1109/access.2019.2943207openalex-snapshot
LiDAR Data Integrity Verification for Autonomous Vehicle
inferredcites →https://doi.org/10.1109/access.2020.2968985openalex-snapshot
Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks
inferredcites →https://doi.org/10.1109/access.2020.2980523openalex-snapshot
Detecting Low-Rate Replay-Based Injection Attacks on In-Vehicle Networks
inferredcites →https://doi.org/10.1109/access.2020.2991273openalex-snapshot
Intelligent Application Protection Mechanism for Transportation in V2C Environment
inferredcites →https://doi.org/10.1109/access.2020.3029307openalex-snapshot
LSTM-Based Intrusion Detection System for In-Vehicle Can Bus Communications
inferredcites →https://doi.org/10.1109/access.2020.3034327openalex-snapshot
Intelligent Detection of Black Hole Attacks for Secure Communication in Autonomous and Connected Vehicles
inferredcites →https://doi.org/10.1109/access.2020.3037705openalex-snapshot
Attacks on Self-Driving Cars and Their Countermeasures: A Survey
inferredcites →https://doi.org/10.1109/access.2021.3113649openalex-snapshot
Blockchain and Autonomous Vehicles: Recent Advances and Future Directions
inferredcites →https://doi.org/10.1109/access.2021.3115087openalex-snapshot
Quantum-Resistant Cryptography for the Internet of Things Based on Location-Based Lattices
inferredcites →https://doi.org/10.1109/antem.2018.8572847openalex-snapshot
Cyber Security Challenges in Autonomous Vehicle: Their Impact on RF Sensor and Wireless Technologies
inferredcites →https://doi.org/10.1109/ccnc49032.2021.9369480openalex-snapshot
Federated Learning with Differential Privacy for Resilient Vehicular Cyber Physical Systems
inferredcites →https://doi.org/10.1109/comst.2020.2975048openalex-snapshot
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward
inferredcites →https://doi.org/10.1109/comst.2020.3012961openalex-snapshot
Security and Privacy Challenges in Connected Vehicular Cloud Computing
inferredcites →https://doi.org/10.1109/cvpr.2015.7298640openalex-snapshot
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
inferredcites →https://doi.org/10.1109/cvpr.2016.282openalex-snapshot
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.485openalex-snapshot
Improving the Robustness of Deep Neural Networks via Stability Training
inferredcites →https://doi.org/10.1109/cvpr.2017.17openalex-snapshot
Universal Adversarial Perturbations
inferredcites →https://doi.org/10.1109/cvpr.2018.00084openalex-snapshot
NAG: Network for Adversary Generation
inferredcites →https://doi.org/10.1109/cvpr.2018.00957openalex-snapshot
Boosting Adversarial Attacks with Momentum
inferredcites →https://doi.org/10.1109/cvpr.2019.00059openalex-snapshot
Feature Denoising for Improving Adversarial Robustness
inferredcites →https://doi.org/10.1109/cvpr40276.2018openalex-snapshot
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01453openalex-snapshot
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations
inferredcites →https://doi.org/10.1109/cvprw.2016.58openalex-snapshot
Adversarial Diversity and Hard Positive Generation
inferredcites →https://doi.org/10.1109/cvprw.2019.00177openalex-snapshot
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks
inferredcites →https://doi.org/10.1109/eit.2018.8500208openalex-snapshot
Challenges for Vehicular Cybersecurity
inferredcites →https://doi.org/10.1109/eucnc42795.2019openalex-snapshot
2019 European Conference on Networks and Communications (EuCNC)
inferredcites →https://doi.org/10.1109/eucnc48522.2020.9200945openalex-snapshot
The CARAMEL Project: a Secure Architecture for Connected and Autonomous Vehicles
inferredcites →https://doi.org/10.1109/eurosp.2016.36openalex-snapshot
The Limitations of Deep Learning in Adversarial Settings
inferredcites →https://doi.org/10.1109/gcce46687.2019openalex-snapshot
2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)
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2018 IEEE Global Communications Conference (GLOBECOM)
inferredcites →https://doi.org/10.1109/globecom42002.2020.9322159openalex-snapshot
Blockchain-Supported Federated Learning for Trustworthy Vehicular Networks
inferredcites →https://doi.org/10.1109/greentech42012.2018openalex-snapshot
2018 IEEE Green Technologies Conference (GreenTech)
inferredcites →https://doi.org/10.1109/hst47167.2019.9032989openalex-snapshot
Attacks on Machine Learning: Adversarial Examples in Connected and Autonomous Vehicles
inferredcites →https://doi.org/10.1109/ic-etite47903.2020.332openalex-snapshot
Intrusion Detection in Intelligent Transportation System and its Applications using Blockchain Technology
inferredcites →https://doi.org/10.1109/icacite53722.2022.9823923openalex-snapshot
Traffic Response System Based on Data Mining and Internet of Things (Iot) For Preventing Accidents
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APE-GAN: Adversarial Perturbation Elimination with GAN
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2017 3rd IEEE International Conference on Computer and Communications (ICCC)
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2021 International Conference on Computer Communication and Informatics (ICCCI)
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A new data mining based network Intrusion Detection model
inferredcites →https://doi.org/10.1109/iccubea.2018.8697772openalex-snapshot
A Survey on Security in Automotive Networks
inferredcites →https://doi.org/10.1109/iccv.2017.153openalex-snapshot
Adversarial Examples for Semantic Segmentation and Object Detection
inferredcites →https://doi.org/10.1109/iccw.2008.78openalex-snapshot
Secure Firmware Updates over the Air in Intelligent Vehicles
inferredcites →https://doi.org/10.1109/iceeot.2016.7754846openalex-snapshot
VANET security: Issues, challenges and solutions
inferredcites →https://doi.org/10.1109/icenco49778.2020.9357369openalex-snapshot
16th International Computer Engineering Conference ICENCO 2020
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Detection and isolation of Black Hole in VANET
inferredcites →https://doi.org/10.1109/icisc44355.2019.9036448openalex-snapshot
Cryptography & Network Security Hash Function Applications, Attacks and Advances: A Review
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2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)
inferredcites →https://doi.org/10.1109/icspcs.2012.6507953openalex-snapshot
Survey on security attacks in Vehicular Ad hoc Networks (VANETs)
inferredcites →https://doi.org/10.1109/icspis51252.2020openalex-snapshot
2020 3rd International Conference on Signal Processing and Information Security (ICSPIS)
inferredcites →https://doi.org/10.1109/ictis.2017.8047816openalex-snapshot
Research on connected vehicle architecture based on DSRC technology
inferredcites →https://doi.org/10.1109/icton51198.2020.9203087openalex-snapshot
GNSS Location Verification in Connected and Autonomous Vehicles Using in-Vehicle Multimodal Sensor Data Fusion
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IEEE INFOCOM 2008 - The 27th Conference on Computer Communications
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Survey on effective GPS spoofing countermeasures
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2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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A communication architecture for wireless power transfer services based on DSRC technology
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Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems
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Defending Connected Vehicles Against Malware: Challenges and a Solution Framework
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A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks
inferredcites →https://doi.org/10.1109/jiot.2021.3135342openalex-snapshot
Bift: A Blockchain-Based Federated Learning System for Connected and Autonomous Vehicles
inferredcites →https://doi.org/10.1109/jiot.2022.3152477openalex-snapshot
A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications
inferredcites →https://doi.org/10.1109/jproc.2018.2841339openalex-snapshot
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inferredcites →https://doi.org/10.1109/jproc.2019.2948775openalex-snapshot
The Security of Autonomous Driving: Threats, Defenses, and Future Directions
inferredcites →https://doi.org/10.1109/jsen.2020.3004275openalex-snapshot
Cybersecurity Attacks in Vehicular Sensors
inferredcites →https://doi.org/10.1109/jsen.2020.3011698openalex-snapshot
Simultaneous Cyber-Attack Detection and Radar Sensor Health Monitoring in Connected ACC Vehicles
inferredcites →https://doi.org/10.1109/lcn18402.2011openalex-snapshot
2011 IEEE 36th Conference on Local Computer Networks
inferredcites →https://doi.org/10.1109/lcomm.2013.102213.132056openalex-snapshot
Real-Time Detection of Denial-of-Service Attacks in IEEE 802.11p Vehicular Networks
inferredcites →https://doi.org/10.1109/lcomm.2018.2814983openalex-snapshot
Decentralized Detection of GPS Spoofing in Vehicular Ad Hoc Networks
inferredcites →https://doi.org/10.1109/lcomm.2019.2894767openalex-snapshot
Real-Time Jamming DoS Detection in Safety-Critical V2V C-ITS Using Data Mining
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inferredcites →https://doi.org/10.1109/lisat.2018.8378026openalex-snapshot
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inferredcites →https://doi.org/10.1109/mc.2013.74openalex-snapshot
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Security vulnerabilities of connected vehicle streams and their impact on cooperative driving
inferredcites →https://doi.org/10.1109/mm.2013.18openalex-snapshot
Security of Autonomous Systems Employing Embedded Computing and Sensors
inferredcites →https://doi.org/10.1109/mnet.001.1900310openalex-snapshot
Vehicular Blockchain-Based Collective Learning for Connected and Autonomous Vehicles
inferredcites →https://doi.org/10.1109/mnet.101.2100387openalex-snapshot
Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment
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/mnet.2018.1700345openalex-snapshot
Secure Outsourced Computation in Connected Vehicular Cloud Computing
inferredcites →https://doi.org/10.1109/mnet.2018.1700347openalex-snapshot
Integrated Authentication and Key Agreement Framework for Vehicular Cloud Computing
inferredcites →https://doi.org/10.1109/mprv.2018.03367732openalex-snapshot
IoT-Enabled Highway Maintenance: Understanding Emerging Cybersecurity Threats
inferredcites →https://doi.org/10.1109/msp.2020.2985363openalex-snapshot
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective
inferredcites →https://doi.org/10.1109/mvt.2017.2669348openalex-snapshot
Driving with Sharks: Rethinking Connected Vehicles with Vehicle Cybersecurity
inferredcites →https://doi.org/10.1109/mvt.2017.2736344openalex-snapshot
Security Solutions for the Controller Area Network: Bringing Authentication to In-Vehicle Networks
inferredcites →https://doi.org/10.1109/mwc.001.1900119openalex-snapshot
Reliable Federated Learning for Mobile Networks
inferredcites →https://doi.org/10.1109/ngct.2015.7375097openalex-snapshot
Impact of gray hole attack in VANET
inferredcites →https://doi.org/10.1109/ojcs.2020.2992630openalex-snapshot
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues
inferredcites →https://doi.org/10.1109/services51467.2021.00024openalex-snapshot
Secure V2V and V2I Communication in Intelligent Transportation using Cloudlets
inferredcites →https://doi.org/10.1109/siu.2017.7960151openalex-snapshot
Producing the location information with the Kalman filter on the GPS data for autonomous vehicles
inferredcites →https://doi.org/10.1109/snpd.2017.8022700openalex-snapshot
Alleviating adversarial attacks via convolutional autoencoder
inferredcites →https://doi.org/10.1109/sose37801.2016openalex-snapshot
2016 11th System of Systems Engineering Conference (SoSE)
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Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
inferredcites →https://doi.org/10.1109/sp.2017.49openalex-snapshot
Towards Evaluating the Robustness of Neural Networks
inferredcites →https://doi.org/10.1109/sp.2019.00031openalex-snapshot
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
inferredcites →https://doi.org/10.1109/sp.2019.00044openalex-snapshot
Certified Robustness to Adversarial Examples with Differential Privacy
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A Secure Adaptive Control for Cooperative Driving of Autonomous Connected Vehicles in the Presence of Heterogeneous Communication Delays and Cyberattacks
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A Unified Optimization for Resilient Dynamic Event-Triggering Consensus Under Denial of Service
inferredcites →https://doi.org/10.1109/tcyb.2021.3074318openalex-snapshot
Secure Distributed Adaptive Platooning Control of Automated Vehicles Over Vehicular Ad-Hoc Networks Under Denial-of-Service Attacks
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Defending Against Adversarial Attack Towards Deep Neural Networks Via Collaborative Multi-Task Training
inferredcites →https://doi.org/10.1109/tetc.2018.2890476openalex-snapshot
Cyber Security Framework for Vehicular Network Based on a Hierarchical Game
inferredcites →https://doi.org/10.1109/tetci.2020.2968933openalex-snapshot
A System-Driven Taxonomy of Attacks and Defenses in Adversarial Machine Learning
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BDEdge: Blockchain and Deep-Learning for Secure Edge-Envisioned Green CAVs
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VoltageIDS: Low-Level Communication Characteristics for Automotive Intrusion Detection System
inferredcites →https://doi.org/10.1109/tifs.2021.3076287openalex-snapshot
Who Is in Control? Practical Physical Layer Attack and Defense for mmWave-Based Sensing in Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tii.2019.2894573openalex-snapshot
A Blockchain-Based Solution for Enhancing Security and Privacy in Smart Factory
inferredcites →https://doi.org/10.1109/tii.2020.2966288openalex-snapshot
TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud
inferredcites →https://doi.org/10.1109/tits.2014.2342271openalex-snapshot
Potential Cyberattacks on Automated Vehicles
inferredcites →https://doi.org/10.1109/tits.2014.2372000openalex-snapshot
GPS Signal Authentication From Cooperative Peers
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.2018.2791484openalex-snapshot
Real-Time Detection and Estimation of Denial of Service Attack in Connected Vehicle Systems
inferredcites →https://doi.org/10.1109/tits.2019.2906038openalex-snapshot
Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles
inferredcites →https://doi.org/10.1109/tits.2019.2934481openalex-snapshot
Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning
inferredcites →https://doi.org/10.1109/tits.2020.3000783openalex-snapshot
Security Enhancement for Real-Time Parallel In-Vehicle Applications by CAN FD Message Authentication
inferredcites →https://doi.org/10.1109/tits.2020.3000797openalex-snapshot
Autonomous Vehicle: Security by Design
inferredcites →https://doi.org/10.1109/tits.2020.3004718openalex-snapshot
CRT-BIoV: A Cognitive Radio Technique for Blockchain-Enabled Internet of Vehicles
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.2020.3036376openalex-snapshot
Design and Analysis of Secure Distributed Estimator for Vehicular Platooning in Adversarial Environment
inferredcites →https://doi.org/10.1109/tits.2021.3085297openalex-snapshot
A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs)
inferredcites →https://doi.org/10.1109/tiv.2019.2938110openalex-snapshot
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles Using Cameras and LiDARs
inferredcites →https://doi.org/10.1109/tnnls.2018.2886017openalex-snapshot
Adversarial Examples: Attacks and Defenses for Deep Learning
inferredcites →https://doi.org/10.1109/tpds.2016.2520949openalex-snapshot
Security-Aware Mapping and Scheduling with Hardware Co-Processors for FlexRay-Based Distributed Embedded Systems
inferredcites →https://doi.org/10.1109/tqe.2022.3207111openalex-snapshot
Decentralization Using Quantum Blockchain: A Theoretical Analysis
inferredcites →https://doi.org/10.1109/tsc.2020.3025993openalex-snapshot
Secure V2V and V2I Communication in Intelligent Transportation Using Cloudlets
inferredcites →https://doi.org/10.1109/tsmc.2020.2968606openalex-snapshot
Distributed Secure Platoon Control of Connected Vehicles Subject to DoS Attack: Theory and Application
inferredcites →https://doi.org/10.1109/tvt.2018.2810232openalex-snapshot
Identifying ECUs Using Inimitable Characteristics of Signals in Controller Area Networks
inferredcites →https://doi.org/10.1109/tvt.2018.2884525openalex-snapshot
V2V Routing in a VANET Based on the Autoregressive Integrated Moving Average Model
inferredcites →https://doi.org/10.1109/tvt.2019.2926313openalex-snapshot
Secret Key Agreement for Data Dissemination in Vehicular Platoons
inferredcites →https://doi.org/10.1109/tvt.2019.2940148openalex-snapshot
Toward Blockchain-Based Fair and Anonymous Ad Dissemination in Vehicular Networks
inferredcites →https://doi.org/10.1109/tvt.2020.2971254openalex-snapshot
Unified Biometric Privacy Preserving Three-Factor Authentication and Key Agreement for Cloud-Assisted Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tvt.2020.2977378openalex-snapshot
Poisoning and Evasion Attacks Against Deep Learning Algorithms in Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tvt.2020.2981127openalex-snapshot
Trust Management Scheme Based on Hybrid Cryptography for Secure Communications in VANETs
inferredcites →https://doi.org/10.1109/vtcfall.2018.8690734openalex-snapshot
Detecting and Mitigating Spoofing Attack Against an Automotive Radar
inferredcites →https://doi.org/10.1109/wcnc.2019.8885769openalex-snapshot
Blockchain-based Firmware Update Scheme Tailored for Autonomous Vehicles
inferredcites →https://doi.org/10.1109/wf-iot.2018.8355227openalex-snapshot
Trust Bit: Reward-based intelligent vehicle commination using blockchain paper
inferredcites →https://doi.org/10.1109/wits.2019.8723723openalex-snapshot
A new Security Mechanism for Vehicular Cloud Computing Using Fog Computing System
inferredcites →https://doi.org/10.1109/wpmc48795.2019openalex-snapshot
2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)
inferredcites →https://doi.org/10.1111/exsy.13113openalex-snapshot
RETRACTED: Challenges and vulnerability evaluation of smart cities in IoT device based on cybersecurity mechanism
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/2661829.2662047openalex-snapshot
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering
inferredcites →https://doi.org/10.1145/2746266.2746267openalex-snapshot
In-Vehicle Networks
inferredcites →https://doi.org/10.1145/2810103.2813679openalex-snapshot
PyCRA
inferredcites →https://doi.org/10.1145/2908446.2908485openalex-snapshot
Lightweight Authentication Protocol Deployment over FlexRay
inferredcites →https://doi.org/10.1145/3128572.3140444openalex-snapshot
Adversarial Examples Are Not Easily Detected
inferredcites →https://doi.org/10.1145/3128572.3140449openalex-snapshot
Efficient Defenses Against Adversarial Attacks
inferredcites →https://doi.org/10.1145/3359789.3359790openalex-snapshot
STRIP
inferredcites →https://doi.org/10.1145/3383219.3383287openalex-snapshot
Secure V2X Environment using Blockchain Technology
inferredcites →https://doi.org/10.1145/3460003openalex-snapshot
Integration of Blockchain with Connected and Autonomous Vehicles: Vision and Challenge
inferredcites →https://doi.org/10.1155/2020/5129620openalex-snapshot
Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey
inferredcites →https://doi.org/10.1186/s40537-020-00318-5openalex-snapshot
Cybersecurity data science: an overview from machine learning perspective
inferredcites →https://doi.org/10.1201/9781351251389-8openalex-snapshot
Adversarial Examples in the Physical World
inferredcites →https://doi.org/10.12928/telkomnika.v17i2.9278openalex-snapshot
A novel key management protocol for vehicular cloud security
inferredcites →https://doi.org/10.1364/jocn.413918openalex-snapshot
5G network slicing with QKD and quantum-safe security
inferredcites →https://doi.org/10.14722/ndss.2018.23291openalex-snapshot
Trojaning Attack on Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v32i1.11302openalex-snapshot
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
inferredcites →https://doi.org/10.1609/aaai.v33i01.33012253openalex-snapshot
Distributionally Adversarial Attack
inferredcites →https://doi.org/10.2197/ipsjjip.25.220openalex-snapshot
Automotive Attacks and Countermeasures on LIN-Bus
inferredcites →https://doi.org/10.24963/ijcai.2018/543openalex-snapshot
Generating Adversarial Examples with Adversarial Networks
inferredcites →https://doi.org/10.3390/fi13120313openalex-snapshot
Blockchain Application in Internet of Vehicles: Challenges, Contributions and Current Limitations
inferredcites →https://doi.org/10.3390/info10040148openalex-snapshot
Survey and Classification of Automotive Security Attacks
inferredcites →https://doi.org/10.3390/math8081311openalex-snapshot
Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles
showing the first 200 of 209 · page through all 209

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Cybersecurity Risk Management in Cooperative Intelligent Transport Systems
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