%0 Conference Proceedings
%T Detecting Local Machine Data Leakage in Real Time
%+ Tianjin University (TJU)
%A Liu, Jingcheng
%A Zhang, Yaping
%A Li, Yuze
%A Jia, Yongheng
%A Chen, Yao
%A Cao, Jin
%Z Part 7: Novel Applications
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 16th IFIP International Conference on Digital Forensics (DigitalForensics)
%C New Delhi, India
%Y Gilbert Peterson
%Y Sujeet Shenoi
%I Springer International Publishing
%3 Advances in Digital Forensics XVI
%V AICT-589
%P 291-308
%8 2020-01-06
%D 2020
%R 10.1007/978-3-030-56223-6_16
%K Real-time data leak detection
%K suffix array
%K data privacy
%Z Computer Science [cs]Conference papers
%X Data privacy leaks are becoming a serious problem. A large percentage of privacy leaks are due to inadvertent user errors. Most data leak detection solutions do not have privacy-preserving functionality. Moreover, due to the third-party delivery of data in the cloud, it is not possible to guarantee real-time leak detection.This chapter proposes a local-side data leakage detection method that uses a suffix array. The method also employs encryption for data protection. The method is compared with mature data leak detection algorithms to demonstrate its effectiveness in real time and that the additional data protection overhead is acceptable.
%G English
%Z TC 11
%Z WG 11.9
%2 https://inria.hal.science/hal-03657228/document
%2 https://inria.hal.science/hal-03657228/file/503209_1_En_16_Chapter.pdf
%L hal-03657228
%U https://inria.hal.science/hal-03657228
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-DF
%~ IFIP-WG11-9
%~ IFIP-AICT-589