Literature DB >> 27559196

Metamorphic Testing for Cybersecurity.

Tsong Yueh Chen1, Fei-Ching Kuo1, Wenjuan Ma2, Willy Susilo2, Dave Towey3, Jeffrey Voas4, Zhi Quan Zhou2.   

Abstract

Testing is a major approach for the detection of software defects, including vulnerabilities in security features. This article introduces metamorphic testing (MT), a relatively new testing method, and discusses how the new perspective of MT can help to conduct negative testing as well as to alleviate the oracle problem in the testing of security-related functionality and behavior. As demonstrated by the effectiveness of MT in detecting previously unknown bugs in real-world critical applications such as compilers and code obfuscators, we conclude that software testing of security-related features should be conducted from diverse perspectives in order to achieve greater cybersecurity.

Entities:  

Year:  2016        PMID: 27559196      PMCID: PMC4993050          DOI: 10.1109/MC.2016.176

Source DB:  PubMed          Journal:  Computer (Long Beach Calif)        ISSN: 0018-9162            Impact factor:   2.683


  1 in total

1.  Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations.

Authors:  Chad Brubaker; Suman Jana; Baishakhi Ray; Sarfraz Khurshid; Vitaly Shmatikov
Journal:  IEEE Secur Priv       Date:  2014       Impact factor: 3.573

  1 in total
  1 in total

1.  A metamorphic testing approach for event sequences.

Authors:  Jing Chen; Yinglong Wang; Ying Guo; Mingyue Jiang
Journal:  PLoS One       Date:  2019-02-19       Impact factor: 3.240

  1 in total

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