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See detailDependability Assessment of the Android OS Through Fault Injection
Iannillo, Antonio Ken UL; Cotroneo, Domenico; Natella, Roberto et al

in IEEE Transaction on Reliability (2019)

The reliability of mobile devices is a challenge for vendors since the mobile software stack has significantly grown in complexity. In this article, we study how to assess the impact of faults on the ... [more ▼]

The reliability of mobile devices is a challenge for vendors since the mobile software stack has significantly grown in complexity. In this article, we study how to assess the impact of faults on the quality of user experience in the Android mobile OS through fault injection. We first address the problem of identifying a realistic fault model for the Android OS, by providing developers a set of lightweight and systematic guidelines for fault modeling. Then, we present an extensible fault injection tool (AndroFIT) to apply such fault model on actual, commercial Android devices. Finally, we present a large fault injection experimentation on three Android products from major vendors and point out several reliability issues and opportunities for improving the Android OS. [less ▲]

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See detailEvolutionary Fuzzing of Android OS Vendor System Services
Iannillo, Antonio Ken UL; Natella, Roberto; Cotroneo, Domenico

in Empirical Software Engineering (2019)

Android devices are shipped in several flavors by more than 100 manufacturer partners, which extend the Android “vanilla” OS with new system services and modify the existing ones. These proprietary ... [more ▼]

Android devices are shipped in several flavors by more than 100 manufacturer partners, which extend the Android “vanilla” OS with new system services and modify the existing ones. These proprietary extensions expose Android devices to reliability and security issues. In this paper, we propose a coverage-guided fuzzing platform (Chizpurfle) based on evolutionary algorithms to test proprietary Android system services. A key feature of this platform is the ability to profile coverage on the actual, unmodified Android device, by taking advantage of dynamic binary re-writing techniques. We applied this solution to three high-end commercial Android smartphones. The results confirmed that evolutionary fuzzing is able to test Android OS system services more efficiently than blind fuzzing. Furthermore, we evaluate the impact of different choices for the fitness function and selection algorithm. [less ▲]

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See detailAnalyzing the Context of Bug-Fixing Changes in the OpenStack Cloud Computing Platform
Cotroneo, Domenico; De Simone, Luigi; Iannillo, Antonio Ken UL et al

in 2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE) (2019)

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See detailA Proposal for Security Assessment of Trustzone-M based Software
Iannillo, Antonio Ken UL; State, Radu UL

in 2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE) (2019)

With the advent of the Internet of Things (IoT) paradigm, computing and networking capabilities are extending to devices that are not considered as computers, enabling them to interact with the physical ... [more ▼]

With the advent of the Internet of Things (IoT) paradigm, computing and networking capabilities are extending to devices that are not considered as computers, enabling them to interact with the physical world or other software entities with minimal or no human input. This fast abstract proposes a methodology for the security assessment of software based on TrustZone-M, the ARM hardware security extension for microcontrollers. The methodology consists of the exploitation of a verification and validation framework to automatically test TrustZone-M based software. [less ▲]

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See detailDependability Assessment of Android OS
Iannillo, Antonio Ken UL

Doctoral thesis (2018)

In this brave new world of smartphone-dependent society, dependability is a strong requirement and needs to be addressed properly. Assessing the dependability of these mobile systems is still an open ... [more ▼]

In this brave new world of smartphone-dependent society, dependability is a strong requirement and needs to be addressed properly. Assessing the dependability of these mobile systems is still an open issue, and companies should have the tools to improve their devices and beat the competition against other vendors. The main objective of this dissertation is to provide the methods to assess the dependability of mobile OS, fundamental for further improvements. Mobile OS are threatened mainly by traditional residual faults (when errors spread across components as failures), aging-related faults (when errors accumulate over time), and misuses by users and applications. This thesis faces these three aspects. First, it presents a qualitative method to define the fault model of a mobile OS, and an exhaustive fault model for Android. I designed and developed AndroFIT, a novel fault injection tool for Android smartphones, and performed an extensive fault injection campaign on three Android devices from different vendors to analyze the impact of component failure on the mobile OS. Second, it presents an experimental methodology to analyze the software aging phenomenon in mobile OS. I performed a software aging analysis campaign on Android devices to identify the impacting factors on performance degradation and resource consumption. Third, it presents the design and implementation of a novel fuzzing tool, namely Chizpurfle, able to automatically test Android vendor customizations by leveraging code coverage information at run-time. [less ▲]

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See detailChizpurfle: A Gray-Box Android Fuzzer for Vendor Service Customizations
Iannillo, Antonio Ken UL; Natella, R.; Cotroneo, D. et al

in 2017 IEEE 28th International Symposium on Software Reliability Engineering (ISSRE) (2017)

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See detailSoftware Aging Analysis of the Android Mobile OS
Cotroneo, D.; Fucci, F.; Iannillo, Antonio Ken UL et al

in 2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE) (2016)

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See detailThe software aging and rejuvenation repository: Http://openscience.us/repo/software-aging/
Cotroneo, D.; Iannillo, Antonio Ken UL; Natella, R. et al

in 2015 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) (2015)

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See detailDependability evaluation and benchmarking of Network Function Virtualization Infrastructures
Cotroneo, D.; De Simone, Luigi; Iannillo, Antonio Ken UL et al

in Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft) (2015)

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See detailImproving Usability of Fault Injection
Cotroneo, D.; Simone, L. De; Iannillo, Antonio Ken UL et al

in 2014 IEEE International Symposium on Software Reliability Engineering Workshops (2014)

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See detailNetwork Function Virtualization: Challenges and Directions for Reliability Assurance
Cotroneo, D.; Simone, L. De; Iannillo, Antonio Ken UL et al

in 2014 IEEE International Symposium on Software Reliability Engineering Workshops (2014)

Detailed reference viewed: 25 (0 UL)