Improvement and Evaluation of a Function for Tracing the Diffusion of Classified Information on KVM

Hideaki Moriyama, Toshihiro Yamauchi, Masaya Sato, Hideo Taniguchi

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

Abstract

The increasing amount of classified information currently being managed by personal computers has resulted in the leakage of such information to external computers, which is a major problem. To prevent such leakage, we previously proposed a function for tracing the diffusion of classified information in a guest operating system (OS) using a virtual machine monitor (VMM). The tracing function hooks a system call in the guest OS from the VMM, and acquiring the information. By analyzing the information on the VMM side, the tracing function makes it possible to notify the user of the diffusion of classified information. However, this function has a problem in that the administrator of the computer platform cannot grasp the transition of the diffusion of classified processes or file information. In this paper, we present the solution to this problem and report on its evaluation.

Original languageEnglish
Title of host publicationAdvances in Networked-Based Information Systems - The 23rd International Conference on Network-Based Information Systems, NBiS 2020
EditorsLeonard Barolli, Kin Fun Li, Tomoya Enokido, Makoto Takizawa
PublisherSpringer
Pages338-349
Number of pages12
ISBN (Print)9783030578107
DOIs
Publication statusPublished - 2021
Event23rd International Conference on Network-Based Information Systems, NBiS 2020 - Victoria, Canada
Duration: Aug 31 2020Sept 2 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1264 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference23rd International Conference on Network-Based Information Systems, NBiS 2020
Country/TerritoryCanada
CityVictoria
Period8/31/209/2/20

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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