Panasonic Intellectual Property Corporation of America

Hisashi Kashima

Tomoyuki Haga

Takeshi Kishikawa

Hideki Matsushima

Manabu Maeda

Yoshihiro Ujiie

Junichi Tsurumi

Takuya Kuwahara

Yukino Toriumi

Takamitsu Sasaki

Daiki Tanaka

Makoto Yamada

In an anomaly detection method that determines whether each frame in observation data constituted by a collection of frames sent and received over a communication network system is anomalous, a difference between a data distribution of a feature amount extracted from the frame in the observation data and a data distribution for a collection of frames sent and received over the communication network system, obtained at a different timing from the observation data, is calculated. A frame having a feature amount for which the difference is predetermined value or higher is determined to be an anomalous frame. An anomaly contribution level of feature amounts extracted from the frame determined to be an anomalous frame is calculated, and an anomalous payload part, which is at least one part of the payload corresponding to the feature amount for which the anomaly contribution level is at least the predetermined value, is output.

Anomaly detection method and anomaly detection device

An abnormality detection method is provided. The abnormality detection method is for detecting an abnormality that may be transmitted to a bus in an on-board network system. The on-board network system includes a plurality of electronic controllers that transmit and receive messages via the bus in a mobility entity. In the abnormality detection method, for example, a gateway transmits identification information to a server and receives a response determining a unit time. An operation process is performed using feature information based on a number of messages received from the bus per the determined unit time and using a model indicating a criterion in terms of a message occurrence frequency. A judgment is made as to an abnormality according to a result of the operation process.

Abnormality detection in an on-board network system

An abnormality detection method is provided. The abnormality detection method is for detecting an abnormality that may be transmitted to a bus in an on-board network system. The on-board network system includes a plurality of electronic controllers that transmit and receive messages via the bus in a vehicle according to a CAN protocol. In the abnormality detection method, for example, a gateway transmits vehicle identification information to a server and receives a response determining a unit time. An operation process is performed using feature information based on a number of messages received from the bus per the determined unit time and using a model indicating a criterion in terms of a message occurrence frequency. A judgment is made as to an abnormality according to a result of the operation process.

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Kyoto, Japan

Hisashi Kashima