MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa. MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks. In 30th International Telecommunication Networks and Applications Conference, ITNAC 2020, Melbourne, Australia, November 25-27, 2020. pages 1-7, IEEE, 2020. [doi]

This author has not been identified. Look up 'Araya Kibrom Desta' in GoogleThis author has not been identified. Look up 'Shuji Ohira' in GoogleThis author has not been identified. Look up 'Ismail Arai' in GoogleThis author has not been identified. Look up 'Kazutoshi Fujikawa' in Google

runs on WebDSL