Papers

Open access
2016

Design of function for tracing diffusion of classified information for IPC on KVM

Journal of Information Processing
  • Shota Fujii
  • ,
  • Masaya Sato
  • ,
  • Toshihiro Yamauchi
  • ,
  • Hideo Taniguchi

Volume
24
Number
5
First page
781
Last page
792
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.2197/ipsjjip.24.781
Publisher
Information Processing Society of Japan

© 2016 Information Processing Society of Japan. The leaking of information has increased in recent years. To address this problem, we previously proposed a function for tracing the diffusion of classified information in a guest OS using a virtual machine monitor (VMM). This function makes it possible to grasp the location of classified information and detect information leakage without modifying the source codes of the guest OS. The diffusion of classified information is caused by a file operation, child process creation, and inter-process communication (IPC). In a previous study, we implemented the proposed function for a file operation and child process creation excluding IPC using a kernel-based virtual machine (KVM). In this paper, we describe the design of the proposed function for IPC on a KVM without modifying the guest OS. The proposed function traces the local and remote IPCs inside the guest OS from the outside so as to trace the information diffusion. Because IPC with an outside computer might cause information leakage, tracing the IPCs enables the detection of such a leakage. We also report the evaluation results including the traceability and performance of the proposed function.

Link information
DOI
https://doi.org/10.2197/ipsjjip.24.781
DBLP
https://dblp.uni-trier.de/rec/journals/jip/FujiiSYT16
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84987934441&origin=inward Open access
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84987934441&origin=inward
URL
https://dblp.uni-trier.de/db/journals/jip/jip24.html#FujiiSYT16
ID information
  • DOI : 10.2197/ipsjjip.24.781
  • ISSN : 0387-5806
  • eISSN : 1882-6652
  • DBLP ID : journals/jip/FujiiSYT16
  • SCOPUS ID : 84987934441

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