Conference Papers
Year :
Rida khatoun : Connect in order to contact the contributor
https://hal.science/hal-03860326
Submitted on : Friday, November 18, 2022-3:30:38 PM
Last modification on : Wednesday, March 15, 2023-3:58:38 AM
Dates and versions
Identifiers
- HAL Id : hal-03860326 , version 1
- DOI : 10.23919/APNOMS56106.2022.9919991
Cite
Badis Hammi, Mohamed Yacine Idir, Rida Khatoun. A machine learning based approach for the detection of sybil attacks in C-ITS. 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS), Sep 2022, Takamatsu, Japan. pp.1-4, ⟨10.23919/APNOMS56106.2022.9919991⟩. ⟨hal-03860326⟩
Collections
18
View
0
Download