Static tainting extraction approach based on information flow graph for personally identifiable information

Author:

Liu Yi,Liao Lejian,Song Tian

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference37 articles.

1. Krishnamurthy B, Wills C E. On the leakage of personally identifiable information via online social networks. In: Proceedings of the 2nd ACM Workshop on Online Social Networks, 2009. 7–12

2. Mccallister E, Grance T, Scarfone K A. Guide to Protecting the Confidentiality of Personally Identifiable Information (PII). Special Publication (NIST SP)-800-122. 2010

3. Liu Y, Song H H, Bermudez I, et al. Identifying personal information in internet traffic. In: Proceedings of ACM on Conference on Online Social Networks, 2015. 59–70

4. Enck W, Gilbert P, Chun B G, et al. TaintDroid: an information flow tracking system for real-time privacy monitoring on smartphones. Commun ACM, 2014, 57: 99–106

5. Ball J, Schneier B, Greenwald G. NSA and GCHQ target Tor network that protects anonymity of web users. Guardian Web, 2013. https://www.schneier.com/essays/archives/2013/10/nsa_and_gchq_target.html

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1. TaintSQL: Dynamically Tracking Fine-Grained Implicit Flows for SQL Statements;2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE);2022-10

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