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Ask a(n)droid to tell you the odds: probabilistic security-by-contract for mobile devices.

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Title: Ask a(n)droid to tell you the odds: probabilistic security-by-contract for mobile devices.
Authors: Aldini, Alessandro1 (AUTHOR), La Marra, Antonio2 (AUTHOR), Martinelli, Fabio3 (AUTHOR), Saracino, Andrea3 (AUTHOR) andrea.saracino@iit.cnr.it
Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Feb2021, Vol. 25 Issue 3, p2295-2314. 20p.
Subjects: Android (Operating system), Mobile apps, Statistics, Malware
Abstract: Security-by-contract is a paradigm proposed for the secure installation, usage, and monitoring of apps into mobile devices, with the aim of establishing, controlling, and, if necessary, enforcing security-critical behaviors. In this paper, we extend this paradigm with new functionalities allowing for a quantitative estimation of such behaviors, in order to reveal in real time the more and more challenging subtleties of new-generation malware and repackaged apps. The novel paradigm is based on formal means and techniques ranging from statistical analysis to probabilistic model checking. The framework, deployed in the Android environment, is evaluated by examining both its effectiveness with respect to a benchmark of real-world malware and its effect on the execution of genuine, secure apps. [ABSTRACT FROM AUTHOR]
Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Security-by-contract is a paradigm proposed for the secure installation, usage, and monitoring of apps into mobile devices, with the aim of establishing, controlling, and, if necessary, enforcing security-critical behaviors. In this paper, we extend this paradigm with new functionalities allowing for a quantitative estimation of such behaviors, in order to reveal in real time the more and more challenging subtleties of new-generation malware and repackaged apps. The novel paradigm is based on formal means and techniques ranging from statistical analysis to probabilistic model checking. The framework, deployed in the Android environment, is evaluated by examining both its effectiveness with respect to a benchmark of real-world malware and its effect on the execution of genuine, secure apps. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Type: general
      – SubjectFull: Mobile apps
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              Text: Feb2021
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