TY - GEN
T1 - Improvement and Evaluation of a Function for Tracing the Diffusion of Classified Information on KVM
AU - Moriyama, Hideaki
AU - Yamauchi, Toshihiro
AU - Sato, Masaya
AU - Taniguchi, Hideo
N1 - Funding Information:
Acknowledgements. This work was partially supported by JSPS KAKENHI Grant Numbers 19H04109 and 19K20246.
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-030-57811-4_32
DO - 10.1007/978-3-030-57811-4_32
M3 - Conference contribution
AN - SCOPUS:85090029974
SN - 9783030578107
T3 - Advances in Intelligent Systems and Computing
SP - 338
EP - 349
BT - Advances in Networked-Based Information Systems - The 23rd International Conference on Network-Based Information Systems, NBiS 2020
A2 - Barolli, Leonard
A2 - Li, Kin Fun
A2 - Enokido, Tomoya
A2 - Takizawa, Makoto
PB - Springer
T2 - 23rd International Conference on Network-Based Information Systems, NBiS 2020
Y2 - 31 August 2020 through 2 September 2020
ER -