Real-time driver behaviour characterization through rule-based machine learning

التفاصيل البيبلوغرافية
العنوان: Real-time driver behaviour characterization through rule-based machine learning
المؤلفون: Martinelli, Fabio, Mercaldo, Francesco, Nardone, Vittoria, Santone, Antonella, Vaglini, Gigliola
المساهمون: SAFECOMP 2018, Martinelli, Fabio, Mercaldo, Francesco, Nardone, Vittoria, Santone, Antonella, Vaglini, Gigliola
بيانات النشر: Springer Verlag
سنة النشر: 2018
المجموعة: Università degli Studi del Molise: IRIS
مصطلحات موضوعية: Authentication, Automotive, Machine learning, Privacy, Theoretical Computer Science, Computer Science (all)
الوصف: Modern car-embedded technologies enabled car thieves to perform new ways to steal cars. In order to avoid auto-theft attacks, in this paper we propose a machine learning based method to silently and continuously profile the driver by analyzing built-in vehicle sensors. The proposed method exploits rule-based machine learning with the aim to discriminate between the car owner and impostors. Furthermore, we discuss how the rules generated by the rule-based algorithm can be adopted in order to discriminate between different driving styles.
نوع الوثيقة: conference object
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/isbn/9783319992280; info:eu-repo/semantics/altIdentifier/wos/WOS:000458807000032; ispartofbook:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Workshops: ASSURE, DECSoS, SASSUR, STRIVE, and WAISE 2018 co-located with 37th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2018; volume:11094; firstpage:374; lastpage:386; numberofpages:13; journal:LECTURE NOTES IN ARTIFICIAL INTELLIGENCE; http://hdl.handle.net/11695/82740Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85053879502; https://www.springer.com/series/558Test
DOI: 10.1007/978-3-319-99229-7_32
الإتاحة: https://doi.org/10.1007/978-3-319-99229-7_32Test
http://hdl.handle.net/11695/82740Test
https://www.springer.com/series/558Test
رقم الانضمام: edsbas.49E18A0
قاعدة البيانات: BASE