Sanitizing sensitive data: How to get it right (or at least less wrong…)

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Abstract

Coding standards and guidance for secure programming call for sensitive data to be “sanitized” before being de-allocated. This paper considers what this really means in technical terms, why it is actually rather difficult to achieve, and how such a requirement can be realistically implemented and verified, concentrating on the facilities offered by Ada and SPARK. The paper closes with a proposed policy and coding standard that can be applied and adapted to other projects.

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APA

Chapman, R. (2017). Sanitizing sensitive data: How to get it right (or at least less wrong…). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10300 LNCS, pp. 37–52). Springer Verlag. https://doi.org/10.1007/978-3-319-60588-3_3

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