Title
Performance Improvement and Evaluation of Function for Tracing Diffusion of Classified Information on KVM
Abstract
As a result of the increasing amounts of classified information being managed by personal computers, leakage of this information to external computers has become a serious 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). This function allows determination of the classified information location and information leakage detection without modification of the guest OS source code. In addition, it is more difficult for attacks to target this function, because the VMM is isolated from the guest OS. The tracing function hooks a system call in the guest OS from the VMM and judges whether the hooked system call is related to the diffusion of classified information. However, if the tracing function induces processing of large overheads, introduction of this function may degrade performance. In this paper, we analyze the processing performance of the tracing function in detail, identifying processing involving large overheads. Hence, we determine that the recording overheads for files or processes having the potential to diffuse classified information are especially large. To reduce the influence of the tracing function introduction, it is necessary to reduce these overheads. Therefore, we present a policy for efficient management. Further, we propose an improved tracing function and report on its evaluation.
Year
DOI
Venue
2017
10.1109/CANDAR.2017.91
2017 Fifth International Symposium on Computing and Networking (CANDAR)
Keywords
Field
DocType
information leak prevention,virtualization,VMM
Virtualization,Information leakage,Source code,Computer science,Hypervisor,System call,Classified information,Tracing,Embedded system,Performance improvement
Conference
ISSN
ISBN
Citations 
2379-1888
978-1-5386-2088-5
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Hideaki Moriyama100.34
Toshihiro Yamauchi2179.39
Masaya Sato366.56
Hideo Taniguchi45230.01