Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

Software Trusty Analysis Based on Tiant Trace with Non-interference

Authors
Shu Chen, Junmin Ye, Minkai Chen, Fan Zhang
Corresponding Author
Shu Chen
Available Online November 2014.
DOI
https://doi.org/10.2991/meic-14.2014.74How to use a DOI?
Keywords
component;software trust ;software behavior; tiant; non-interference;behavior model
Abstract

we proposed a novel approach for software trust analysis, in order to solve the problems in auto testing that, the test process is lack of guidance, further more, with high performance cost. The main idea of this approach is based on taint data tracing by taint tracing started from outside of software environment. By extracting the raw behaviors such as API invocation that may cause un-trust consequence, the scope of codes that being tested will be narrowed. These may-un-trust behaviors then form into a taint dependency behaviors model, and will be proved that whether these behaviors can be trusted in certain environment. The proving mechanism will be done by a so called non-interference information flow model. The behavior model will be evolved by refinement, and the context of each test iteration will be taken advantaged of for guidance. Besides, non-interference theories will also be applied in proving. We also briefly discussed about the implementation of this approach, and necessary theorems for this approach are also proved.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
November 2014
ISBN
978-94-62520-42-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/meic-14.2014.74How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shu Chen
AU  - Junmin Ye
AU  - Minkai Chen
AU  - Fan Zhang
PY  - 2014/11
DA  - 2014/11
TI  - Software Trusty Analysis Based on Tiant Trace with Non-interference
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 330
EP  - 334
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.74
DO  - https://doi.org/10.2991/meic-14.2014.74
ID  - Chen2014/11
ER  -