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Information and Software Technology
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Information and Software Technology
Article . 2018 . Peer-reviewed
License: Elsevier TDM
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DBLP
Article . 2018
Data sources: DBLP
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Towards a mutation analysis of IoT protocols

Authors: Benjamin Aziz;

Towards a mutation analysis of IoT protocols

Abstract

Abstract Context Mutation testing and analysis is concerned with the introduction of single faults (or errors) into a system’s design, specification, implementation or interface and then testing or analysing the effects caused by those faults or errors on the system’s properties and behaviour. Such faulty entities are called mutants. Objective This short paper sketches the idea that mutations can be used to identify whether protocol implementations may deviate from the standards defining those protocols. Methods We apply formal analysis techniques to analyse the harmful effects of mutations on IoT protocol specifications, most importantly, e.g. whether those mutations will violate the IoT protocol standard. Results We discovered in our initial investigation one interesting case where a mutant protocol specification may lead to implementations that drop every message intended for publication to applications without breaking the standard of quality of message delivery in the protocol standard. Conclusion We believe as a result, that there is some additional investigation needed in this direction that could be beneficial in implementing future more reliable protocols and also that the current standards need to be revised to take care of such scenarios.

Country
United Kingdom
Related Organizations
Keywords

formal analysis, IoT protocols, Computer Science (miscellaneous), Computing, process algebra, /dk/atira/pure/core/subjects/computing, mutation analysis, /dk/atira/pure/subjectarea/asjc/1700/1701

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Top 10%
Green
hybrid