Abstract
Prevention from the leak of release information is a major challenge in public release information security issues. The derivation relation inherent in the information is the key to leak. To address the problem, a leak detection method based on semantic knowledge representation and derivation model is presented within two detections over the release information. Firstly, semantic knowledge of a sentence can be represented in the frame-based hierarchy through semantic and syntax analyses. Base on this, leaks in some ways can be detected, such as by enclosing information that need to be confidential (general secret information) directly, by using the substitution of synonym or restatement of secret information. Secondly, the derivation model is constructed through the hierarchy and derivation relations implicated in the information. This model is tailored to detect leaks caused by information derivation. Finally, we also report on the theory and experiment analysis. The result is satisfying.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.