Sedjelmaci, H.,
Senouci, S.M.,
Ansari, N.,
Intrusion Detection and Ejection Framework Against Lethal Attacks in
UAV-Aided Networks: A Bayesian Game-Theoretic Methodology,
ITS(18), No. 5, May 2017, pp. 1143-1153.
IEEE DOI
1705
Bayes methods, Games, Intrusion detection, Monitoring,
Unmanned aerial vehicles, Bayesian game,
intrusion detection system (IDS),
intrusion ejection system (IES),
unmanned aerial vehicles (UAVs), vehicular, networks
BibRef
Liang, J.,
Lin, Q.,
Chen, J.,
Zhu, Y.,
A Filter Model Based on Hidden Generalized Mixture Transition
Distribution Model for Intrusion Detection System in Vehicle Ad Hoc
Networks,
ITS(21), No. 7, July 2020, pp. 2707-2722.
IEEE DOI
2007
Hidden Markov models, Vehicular ad hoc networks, Reliability,
Intrusion detection, Safety, Computational modeling,
filter model based on HgMTD model (FM-HgMTD)
BibRef
Shu, J.G.[Jian-Gang],
Zhou, L.[Lei],
Zhang, W.Z.[Wei-Zhe],
Du, X.J.[Xiao-Jiang],
Guizani, M.[Mohsen],
Collaborative Intrusion Detection for VANETs: A Deep Learning-Based
Distributed SDN Approach,
ITS(22), No. 7, July 2021, pp. 4519-4530.
IEEE DOI
2107
Intrusion detection, Vehicular ad hoc networks, Collaboration,
Servers, Monitoring, Machine learning,
generative adversarial networks
BibRef
Xie, G.Q.[Guo-Qi],
Yang, L.T.[Laurence T.],
Yang, Y.[Yuanda],
Luo, H.B.[Hai-Bo],
Li, R.[Renfa],
Alazab, M.[Mamoun],
Threat Analysis for Automotive CAN Networks: A GAN Model-Based
Intrusion Detection Technique,
ITS(22), No. 7, July 2021, pp. 4467-4477.
IEEE DOI
2107
Automotive engineering, Generative adversarial networks,
Intrusion detection, Deep learning, Security, Training,
threat analysis
BibRef
dos Santos-Roque, A.[Alexandre],
Jazdi, N.[Nasser],
de Freitas, E.P.[Edison Pignaton],
Pereira, C.E.[Carlos Eduardo],
A Fault Modeling Based Runtime Diagnostic Mechanism for Vehicular
Distributed Control Systems,
ITS(23), No. 7, July 2022, pp. 7220-7232.
IEEE DOI
2207
Protocols, Degradation, Runtime, Automotive engineering,
Decentralized control, Data models, Task analysis, vehicular control systems
BibRef
Taguchi, S.[Shun],
Yoshimura, T.[Takayoshi],
Online Estimation and Prediction of Large-Scale Network Traffic From
Sparse Probe Vehicle Data,
ITS(23), No. 7, July 2022, pp. 7233-7243.
IEEE DOI
2207
Roads, Probes, Data models, Data assimilation, Predictive models,
Neural networks, Network topology, Data assimilation,
traffic speed prediction
BibRef
Islam, R.[Riadul],
Refat, R.U.D.[Rafi Ud Daula],
Yerram, S.M.[Sai Manikanta],
Malik, H.[Hafiz],
Graph-Based Intrusion Detection System for Controller Area Networks,
ITS(23), No. 3, March 2022, pp. 1727-1736.
IEEE DOI
2203
Protocols, Autonomous vehicles, Fabrication, Intrusion detection,
Feature extraction, Cyberattack, Controller area network, security,
graph-theory
BibRef
Yu, Y.T.[Yan-Tao],
Zeng, X.[Xin],
Xue, X.P.[Xiao-Ping],
Ma, J.X.[Jing-Xiao],
LSTM-Based Intrusion Detection System for VANETs: A Time Series
Classification Approach to False Message Detection,
ITS(23), No. 12, December 2022, pp. 23906-23918.
IEEE DOI
2212
Time series analysis, Safety, Deep learning, Data models,
Visualization, Vehicular ad hoc networks, Vehicles,
long short-term memory model (LSTM)
BibRef
Oseni, A.[Ayodeji],
Moustafa, N.[Nour],
Creech, G.[Gideon],
Sohrabi, N.[Nasrin],
Strelzoff, A.[Andrew],
Tari, Z.[Zahir],
Linkov, I.[Igor],
An Explainable Deep Learning Framework for Resilient Intrusion
Detection in IoT-Enabled Transportation Networks,
ITS(24), No. 1, January 2023, pp. 1000-1014.
IEEE DOI
2301
Internet of Things, Security, Intrusion detection, Protocols,
Deep learning, Safety, Explainable AI, network intrusion detection,
Internet of Vehicles (IoV)
BibRef
Ahmed, U.[Usman],
Lin, J.C.W.[Jerry Chun-Wei],
Srivastava, G.[Gautam],
Yun, U.[Unil],
Singh, A.K.[Amit Kumar],
Deep Active Learning Intrusion Detection and Load Balancing in
Software-Defined Vehicular Networks,
ITS(24), No. 1, January 2023, pp. 953-961.
IEEE DOI
2301
Sensors, Load modeling, Load management, Task analysis, Servers,
Resource management, Optimization,
smart city application
BibRef
Anbalagan, S.[Sudha],
Raja, G.[Gunasekaran],
Gurumoorthy, S.[Sugeerthi],
Suresh, R.D.[R. Deepak],
Dev, K.[Kapal],
IIDS: Intelligent Intrusion Detection System for Sustainable
Development in Autonomous Vehicles,
ITS(24), No. 12, December 2023, pp. 15866-15875.
IEEE DOI
2312
BibRef
Kong, X.Y.[Xiang-Yu],
Yang, G.H.[Guang-Hong],
Anti-Watermarking Stealthy Deception Attacks Against Networked
Unmanned Surface Vehicles,
ITS(25), No. 9, September 2024, pp. 12835-12840.
IEEE DOI
2409
Watermarking, Detectors, Wireless networks, System performance,
State estimation, Intelligent transportation systems, Uplink,
auxiliary estimator
BibRef
Zheng, G.[Guhan],
Ni, Q.[Qiang],
Lu, Y.[Yang],
Privacy-Aware Anomaly Detection and Notification Enhancement for
VANET Based on Collaborative Intrusion Detection System,
ITS(25), No. 12, December 2024, pp. 21172-21182.
IEEE DOI
2412
Vehicular ad hoc networks, Intrusion detection, Privacy,
Blockchains, Roads, Games, Trust management, Nash equilibrium,
Nash equilibrium
BibRef
Aljabri, W.[Wael],
Hamid, M.A.[Md. Abdul],
Mosli, R.[Rayan],
Lightweight and Adaptive Data-Driven Intrusion Detection System for
Autonomous Vehicles,
ITS(26), No. 2, February 2025, pp. 2282-2292.
IEEE DOI
2502
Accuracy, Computer crime, Vehicle-to-everything, Training,
Long short term memory, Automobiles, Safety, Intrusion detection,
car-hacking
BibRef
Huang, Y.F.[Yun-Fan],
Ma, M.[Maode],
AILL-IDS: An Automatic Incremental Lifetime Learning Intrusion
Detection System for Vehicular Ad Hoc Networks,
ITS(26), No. 2, February 2025, pp. 2669-2678.
IEEE DOI
2502
Vehicular ad hoc networks, Vehicle dynamics, Data models,
Adaptation models, Accuracy, Incremental learning,
vehicle ad hoc network
BibRef
Ahmed, S.[Shafiq],
Anisi, M.H.[Mohammad Hossein],
AIDAS: AI-Enhanced Intrusion Detection and Authentication for
Autonomous Vehicles,
ITS(26), No. 8, August 2025, pp. 12548-12557.
IEEE DOI
2508
Authentication, Security, Cryptography, Autonomous vehicles,
Accuracy, Protocols, Artificial intelligence, Vectors, smart grid
BibRef
Hakeem, S.A.A.[Shimaa A. Abdel],
Kim, H.[HyungWon],
Advancing Intrusion Detection in V2X Networks: A Comprehensive Survey
on Machine Learning, Federated Learning, and Edge AI for V2X Security,
ITS(26), No. 8, August 2025, pp. 11137-11205.
IEEE DOI
2508
Vehicle-to-everything, Security, Surveys, Intrusion detection,
Computational modeling, Federated learning, Real-time systems, 5G/6G security
BibRef
Gupta, N.[Nishu],
Malladi, R.[Ravishankar],
Naganjaneyulu, S.[Satuluri],
Balhara, S.[Surjeet],
Optimized Attention Induced Multi Head Convolutional Neural Network
for Intrusion Detection Systems in Vehicular Ad Hoc Networks,
ITS(26), No. 8, August 2025, pp. 11957-11966.
IEEE DOI
2508
Vehicular ad hoc networks, Accuracy, Anomaly detection, Security,
Intrusion detection, Adaptation models, Real-time systems,
sensor networks
BibRef
Li, X.M.[Xue-Mei],
Fu, H.[Huirong],
SecureBERT and Llama 2 Empowered Control Area Network Intrusion
Detection and Classification,
ITS(26), No. 10, October 2025, pp. 15248-15263.
IEEE DOI
2511
Adaptation models, Transformers, Intrusion detection, Training,
Hidden Markov models, Computer security, Computer architecture,
vehicle cybersecurity
BibRef
Pooranian, Z.[Zahra],
Taheri, R.[Rahim],
Martinelli, F.[Fabio],
LFD-IDS: Bagging-Based Data Poisoning Attacks Against Cyberattack
Detection in Connected Vehicle,
ITS(26), No. 10, October 2025, pp. 16800-16810.
IEEE DOI
2511
Cloud computing, Training, Temperature sensors, Cyberattack,
Computer architecture, Accuracy, Connected vehicles, Training data,
intrusion detection systems (IDS)
BibRef
Jin, L.[Li],
Zha, J.W.[Jia-Wei],
Zhang, G.[Guoan],
Zhu, H.[Hao],
Duan, W.[Wei],
Sun, Q.[Qiang],
Zhang, J.Y.[Jia-Yi],
Ho, P.H.[Pin-Han],
Intrusion Detection for Future ITS: Integrated Knowledge Graph and
Artificial Intelligence,
ITS(26), No. 10, October 2025, pp. 14680-14689.
IEEE DOI
2511
Knowledge graphs, Intrusion detection, Feature extraction,
Accuracy, Machine learning, Botnet, Overfitting, SHAP
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Privacy in Vehicle Networks, VANET .