Design and evaluation of a diffusion tracing function for classified information among multiple computers

Nobuto Otsubo, Shinichiro Uemura, Toshihiro Yamauchi, Hideo Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In recent years, the opportunity to deal with classified information in a computer has increased, so the cases of classified information leakage have also increased. We have developed a function called "diffusion tracing function for classified information" (tracing function), which has the ability to trace the diffusion of classified information in a computer and to manage which resources might contain classified information. The classified information exchanged among the processes in multiple computers should be traced. This paper proposes a method which traces the diffusion for classified information among multiple computers. Evaluation results show the effectiveness of the proposed methods.

Original languageEnglish
Title of host publicationMultimedia and Ubiquitous Engineering, MUE 2013
Pages235-242
Number of pages8
DOIs
Publication statusPublished - Aug 1 2013
EventFTRA 7th International Conference on Multimedia and Ubiquitous Engineering, MUE 2013 - Seoul, Korea, Republic of
Duration: May 9 2013May 11 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume240 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherFTRA 7th International Conference on Multimedia and Ubiquitous Engineering, MUE 2013
CountryKorea, Republic of
CitySeoul
Period5/9/135/11/13

Keywords

  • Log management
  • Network security
  • Prevention of information leaks

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Otsubo, N., Uemura, S., Yamauchi, T., & Taniguchi, H. (2013). Design and evaluation of a diffusion tracing function for classified information among multiple computers. In Multimedia and Ubiquitous Engineering, MUE 2013 (pp. 235-242). (Lecture Notes in Electrical Engineering; Vol. 240 LNEE). https://doi.org/10.1007/978-94-007-6738-6_30