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Title
BoostSec: Adaptive Attack Detection for Vehicular Networks
Authors
Keywords
-
Journal
Journal of Network and Systems Management
Volume 32, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-11-01
DOI
10.1007/s10922-023-09781-w
References
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Related references
Note: Only part of the references are listed.- Artificial intelligence for intrusion detection systems in Unmanned Aerial Vehicles
- (2022) Jason Whelan et al. COMPUTERS & ELECTRICAL ENGINEERING
- Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach
- (2022) Tao Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Self-Supervised Anomaly Detection for In-Vehicle Network Using Noised Pseudo Normal Data
- (2021) Hyun Min Song et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A survey on security attacks and defense techniques for connected and autonomous vehicles
- (2021) Minh Pham et al. COMPUTERS & SECURITY
- Misbehavior Detection for Position Falsification Attacks in VANETs Using Machine Learning
- (2021) Secil Ercan et al. IEEE Access
- An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles
- (2021) Izhar Ahmed Khan et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
- (2020) Yueyue Dai et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Simulation Framework for Misbehavior Detection in Vehicular Networks
- (2020) Joseph Kamel et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Machine Learning and Reputation Based Misbehavior Detection in Vehicular Communication Networks
- (2020) Sohan Gyawali et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A Machine-Learning-Based Data-Centric Misbehavior Detection Model for Internet of Vehicles
- (2020) Prinkle Sharma et al. IEEE Internet of Things Journal
- Unsupervised anomaly detection in unmanned aerial vehicles
- (2019) Samir Khan et al. APPLIED SOFT COMPUTING
- SAIDuCANT: Specification-Based Automotive Intrusion Detection Using Controller Area Network (CAN) Timing
- (2019) Habeeb Olufowobi et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- VoltageIDS: Low-Level Communication Characteristics for Automotive Intrusion Detection System
- (2018) Wonsuk Choi et al. IEEE Transactions on Information Forensics and Security
- Multi-channel based Sybil Attack Detection in Vehicular Ad Hoc Networks using RSSI
- (2018) Yuan Yao et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning
- (2018) George Loukas et al. IEEE Access
- A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks
- (2017) Hichem Sedjelmaci et al. IEEE Transactions on Systems Man Cybernetics-Systems
- CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks
- (2016) Omar Abdel Wahab et al. EXPERT SYSTEMS WITH APPLICATIONS
- Adaptive Intrusion Detection of Malicious Unmanned Air Vehicles Using Behavior Rule Specifications
- (2013) Robert Mitchell et al. IEEE Transactions on Systems Man Cybernetics-Systems
- On evaluating stream learning algorithms
- (2012) João Gama et al. MACHINE LEARNING
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