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The survival analysis dataset includes CAN bus data from three different vehicles. Normal driving data and three different injection attacks for each vehicle are included in this dataset. The attack packets were injected for five seconds every 20 seconds for the three attack scenarios where the attacks do have a real effect on the vehicle they are injected to. The flooding, fuzzy, malfunction attack scenarios were included. A disadvantage of this dataset is that it has a fewer number of attacks to evaluate.
The Oak Ridge National Laboratory dataset contains advanced and real attacks. The dataset contains anonymized CAN data recorded during ambient driving and during several network attacks. A variety of physically verified CAN attacks such as fuzzing fabrication attack, many targeted fabrication attacks, and masquerade attacks are included in this dataset. The ORNL datasets attacks are made stealthy by manipulating only the necessary portions of the data field and sending a single manipulated message per ambient message of the same ID.
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IEEE/ICACT20220035 Slide.08
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