12 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CR2022
Defining C-ITS Environment and Attack Scenarios
Yongsik Kim, Jae Woong Choi, Hyo Sun Lee +5
As technology advances, it is possible to process a lot of data, and as various elements in the city become diverse and complex, cities are becoming smart cities. One of the core s…
cs.CR2022★ 12 cited
UAVCAN Dataset Description
Dongsung Kim, Yuchan Song, Soonhyeon Kwon +3
We collected attack data from unmanned vehicles using the UAVCAN protocol, and public and described technical documents. A testbed was built with a drone using PX4, and a total of…
cs.CR2022★ 2 cited
Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS
Ke He, Dan Dongseong Kim, Jing Sun +3
Due to its high expressiveness and speed, Deep Learning (DL) has become an increasingly popular choice as the detection algorithm for Network-based Intrusion Detection Systems (NID…