ASATM: Automated security assistant of threat models in intelligent transportation systems
نویسندگان
چکیده
The evolution of technology has led to the appearance smart cities. An essential element in such cities is mobility that covers subjects related Intelligent Transportation Systems (ITS). problem ITS vulnerabilities may considerably harm life quality and safety status human beings living In fact, software hardware systems are more exposed security risks threats. To reduce threats secure design, threat modelling been proposed as a preventive solution design phase. On other hand, always criticised for being time consuming, complex, difficult, error prone. approach this study, is, Automated Security Assistant Threat Models (ASATM), an automated capable achieving high level assurance. By defining concepts conceptual well implementing assistant algorithms, ASATM introduces new identifying threats, extracting requirements, designing software. demonstrates quantitative classification at three levels (insecure, secure, threat), twelve sub-levels (nominal scale colour scale), five-layer depth (human understandability conditional probability). evaluate effectiveness our approach, example with various parameters scenarios was tested results confirmed superiority over latest approaches terms method, learning, model understanding.
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IIT Madras sponsored by the Ministry of Urban Development. The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Ministry that funded the project or IIT Madras. This report is not a standard, specification, or regulation. The rapid...
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ژورنال
عنوان ژورنال: Iet Computers and Digital Techniques
سال: 2022
ISSN: ['1751-861X', '1751-8601']
DOI: https://doi.org/10.1049/cdt2.12045