Protecting Sensitive Topics in Text Documents with PROTEXTOR

Cumby, Chad

doi:10.1007/978-3-642-04174-7_47

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…In this paper, we will call these words sensitive words. Even though there are solutions that partially automate the redaction process [18,15,52], sensitive information is still leaked as the recent case with Transportation Security Administration shows, where sensitive airport screening procedures were leaked as a result of the failure to properly redact documents [61]. As difficult as it is to redact plain text documents, there are no solutions for redacting sensitive information in software artifacts.…”

Section: Sensitive Information In Software Artifactsmentioning

confidence: 99%

Redacting sensitive information in software artifacts

Grechanik

McMillan

Dasgupta

et al. 2014

Proceedings of the 22nd International Conference on Program Comprehension

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In the past decade, there have been many well-publicized cases of source code leaking from different well-known companies. These leaks pose a serious problem when the source code contains sensitive information encoded in its identifier names and comments. Unfortunately, redacting the sensitive information requires obfuscating the identifiers, which will quickly interfere with program comprehension. Program comprehension is key for programmers in understanding the source code, so sensitive information is often left un-redacted.To address this problem, we offer a novel approach for REdacting Sensitive Information in Software arTifacts (RESIST). RESIST finds and replaces sensitive words in software artifacts in such a way to reduce the impact on program comprehension. We evaluated RESIST experimentally using 57 professional programmers from over a dozen different organizations. Our evaluation shows that RESIST effectively redacts software artifacts, thereby making it difficult for participants to infer sensitive information, while maintaining a desired level of comprehension.

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Section: Sensitive Information In Software Artifactsmentioning

confidence: 99%