中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 期刊论文
Title:
A property-based testing framework for encryption programs
Author: Sun, Chang-ai (1) ; Wang, Zuoyi (1) ; Wang, Guan (1)
Corresponding Author: Sun, C.-A.(casun@ustb.edu.cn)
Keyword: software testing ; encryption programs ; test oracles ; metamorphic testing (MT)
Source: Frontiers of Computer Science
Issued Date: 2014
Volume: 8, Issue:3, Pages:478-489
Indexed Type: SCI ; EI
Department: (1) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China
Abstract: In recent years, a variety of encryption algorithms were proposed to enhance the security of software and systems. Validating whether encryption algorithms are correctly implemented is a challenging issue. Software testing delivers an effective and practical solution, but it also faces the oracle problem (that is, under many practical situations, it is impossible or too computationally expensive to know whether the output for any given input is correct). In this paper, we propose a property-based approach to testing encryption programs in the absence of oracles. Our approach makes use of the so-called metamorphic properties of encryption algorithms to generate test cases and verify test results. Two case studies were conducted to illustrate the proposed approach and validate its effectiveness. Experimental results show that even without oracles, the proposed approach can detect nearly 50% inserted faults with at most three metamorphic relations (MRs) and fifty test cases. © 2014 Higher Education Press and Springer-Verlag Berlin Heidelberg.
English Abstract: In recent years, a variety of encryption algorithms were proposed to enhance the security of software and systems. Validating whether encryption algorithms are correctly implemented is a challenging issue. Software testing delivers an effective and practical solution, but it also faces the oracle problem (that is, under many practical situations, it is impossible or too computationally expensive to know whether the output for any given input is correct). In this paper, we propose a property-based approach to testing encryption programs in the absence of oracles. Our approach makes use of the so-called metamorphic properties of encryption algorithms to generate test cases and verify test results. Two case studies were conducted to illustrate the proposed approach and validate its effectiveness. Experimental results show that even without oracles, the proposed approach can detect nearly 50% inserted faults with at most three metamorphic relations (MRs) and fifty test cases. © 2014 Higher Education Press and Springer-Verlag Berlin Heidelberg.
Language: 英语
WOS ID: WOS:000337042200012
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16859
Appears in Collections:软件所图书馆_期刊论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Sun, Chang-ai ,Wang, Zuoyi ,Wang, Guan . A property-based testing framework for encryption programs[J]. Frontiers of Computer Science,2014-01-01,8(3):478-489.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Sun, Chang-ai (1)]'s Articles
[Wang, Zuoyi (1)]'s Articles
[Wang, Guan (1)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Sun, Chang-ai (1)]‘s Articles
[Wang, Zuoyi (1)]‘s Articles
[Wang, Guan (1)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2020  中国科学院软件研究所 - Feedback
Powered by CSpace