These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
136 related articles for article (PubMed ID: 37177579)
1. A Multi-Layer Intrusion Detection System for SOME/IP-Based In-Vehicle Network. Luo F; Yang Z; Zhang Z; Wang Z; Wang B; Wu M Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177579 [TBL] [Abstract][Full Text] [Related]
2. Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles. Gou W; Zhang H; Zhang R Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960485 [TBL] [Abstract][Full Text] [Related]
3. Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks. Mehedi ST; Anwar A; Rahman Z; Ahmed K Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300476 [TBL] [Abstract][Full Text] [Related]
4. Intrusion Detection System CAN-Bus In-Vehicle Networks Based on the Statistical Characteristics of Attacks. Khan J; Lim DW; Kim YS Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050613 [TBL] [Abstract][Full Text] [Related]
5. A Novel Architecture for an Intrusion Detection System Utilizing Cross-Check Filters for In-Vehicle Networks. Im H; Lee D; Lee S Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732913 [TBL] [Abstract][Full Text] [Related]
6. Intrusion Detection in Vehicle Controller Area Network (CAN) Bus Using Machine Learning: A Comparative Performance Study. Bari BS; Yelamarthi K; Ghafoor S Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050674 [TBL] [Abstract][Full Text] [Related]
7. GAN model using field fuzz mutation for in-vehicle CAN bus intrusion detection. Li Z; Jiang W; Liu X; Tan K; Jin X; Yang M Math Biosci Eng; 2022 May; 19(7):6996-7018. PubMed ID: 35730293 [TBL] [Abstract][Full Text] [Related]
8. Protecting SOME/IP Communication via Authentication Ticket. Lee S; Choi W; Lee DH Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514588 [TBL] [Abstract][Full Text] [Related]
9. Security Analysis and Improvement of Vehicle Ethernet SOME/IP Protocol. Du J; Tang R; Feng T Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146142 [TBL] [Abstract][Full Text] [Related]
10. Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection. Al-Jarrah OY; Alhussein O; Yoo PD; Muhaidat S; Taha K; Kim K IEEE Trans Cybern; 2016 Aug; 46(8):1796-806. PubMed ID: 26540724 [TBL] [Abstract][Full Text] [Related]
11. Automotive IoT Ethernet-Based Communication Technologies Applied in a V2X Context via a Multi-Protocol Gateway. Ioana A; Korodi A; Silea I Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080838 [TBL] [Abstract][Full Text] [Related]
12. An Authentication and Secure Communication Scheme for In-Vehicle Networks Based on SOME/IP. Ma B; Yang S; Zuo Z; Zou B; Cao Y; Yan X; Zhou S; Li J Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062608 [TBL] [Abstract][Full Text] [Related]
13. Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security. Kang MJ; Kang JW PLoS One; 2016; 11(6):e0155781. PubMed ID: 27271802 [TBL] [Abstract][Full Text] [Related]
14. RIDES: Robust Intrusion Detection System for IP-Based Ubiquitous Sensor Networks. Amin SO; Siddiqui MS; Hong CS; Lee S Sensors (Basel); 2009; 9(5):3447-68. PubMed ID: 22412321 [TBL] [Abstract][Full Text] [Related]
15. Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System. Zubair M; Ghubaish A; Unal D; Al-Ali A; Reimann T; Alinier G; Hammoudeh M; Qadir J Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365978 [TBL] [Abstract][Full Text] [Related]
16. Customised Intrusion Detection for an Industrial IoT Heterogeneous Network Based on Machine Learning Algorithms Called FTL-CID. Abosata N; Al-Rubaye S; Inalhan G Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616920 [TBL] [Abstract][Full Text] [Related]
17. CANon: Lightweight and Practical Cyber-Attack Detection for Automotive Controller Area Networks. Baek Y; Shin S Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408251 [TBL] [Abstract][Full Text] [Related]
18. Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles. Aloraini F; Javed A; Rana O Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931632 [TBL] [Abstract][Full Text] [Related]
19. Attacks to Automatous Vehicles: A Deep Learning Algorithm for Cybersecurity. Aldhyani THH; Alkahtani H Sensors (Basel); 2022 Jan; 22(1):. PubMed ID: 35009899 [TBL] [Abstract][Full Text] [Related]
20. Development of a Machine-Learning Intrusion Detection System and Testing of Its Performance Using a Generative Adversarial Network. Mari AG; Zinca D; Dobrota V Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772355 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]