このエントリーをはてなブックマークに追加
ID 62317
フルテキストURL
著者
Fujii, Shota Graduate School of Natural Science and Technology, Okayama University
Sato, Masaya Graduate School of Natural Science and Technology, Okayama University ORCID Kaken ID publons researchmap
Taniguchi, Hideo Graduate School of Natural Science and Technology, Okayama University Kaken ID publons researchmap
抄録
Cases of classified information leakage have become increasingly common. To address this problem, we have developed a function for tracing the diffusion of classified information within an operating system. However, this function suffers from the following two problems: first, in order to introduce the function, the operating system's source code must be modified. Second, there is a risk that the function will be disabled when the operating system is attacked. Thus, we have designed a function for tracing the diffusion of classified information in a guest operating system by using a virtual machine monitor. By using a virtual machine monitor, we can introduce the proposed function in various environments without modifying the operating system's source code. In addition, attacks aimed at the proposed function are made more difficult, because the virtual machine monitor is isolated from the operating system. In this paper, we describe the implementation of the proposed function for file operations and child process creation in the guest operating system with a kernel-based virtual machine. Further, we demonstrate the traceability of diffusing classified information by file operations and child process creation. We also report the logical lines of code required to introduce the proposed function and performance overheads.
キーワード
Information Leak Prevention
Virtualization
Semantic Gap
VMM
備考
This is a post-peer-review, pre-copyedit version of an article published in The Journal of Supercomputing. The final authenticated version is available online at: https://doi.org/10.1007/s11227-016-1671-5
発行日
2016-2-23
出版物タイトル
The Journal of Supercomputing
72巻
5号
出版者
Springer Science and Business Media LLC
開始ページ
1841
終了ページ
1861
ISSN
0920-8542
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
論文のバージョン
author
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1007/s11227-016-1671-5