AI-Assisted CAN Trace Analysis for State Identification to Improve Structure-Aware Fuzz Testing of Automotive ECUs.

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Bibliographic Details
Title: AI-Assisted CAN Trace Analysis for State Identification to Improve Structure-Aware Fuzz Testing of Automotive ECUs.
Authors: Popescu, Aurelian1, aurelian.popescu@ulbsibiu.ro, Kifor, Claudiu Vasile1, Lisaru, Codrina Victoria1
Source: Automation (2673-4052); Jun2026, Vol. 7 Issue 3, p83, 28p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 194943927
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: AI-Assisted CAN Trace Analysis for State Identification to Improve Structure-Aware Fuzz Testing of Automotive ECUs.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194943927
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/automation7030083
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 28
        StartPage: 83
    Titles:
      – TitleFull: AI-Assisted CAN Trace Analysis for State Identification to Improve Structure-Aware Fuzz Testing of Automotive ECUs.
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            NameFull: Popescu, Aurelian
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            NameFull: Kifor, Claudiu Vasile
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            NameFull: Lisaru, Codrina Victoria
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            – D: 01
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              Text: Jun2026
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              Y: 2026
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