Abstract
Current forensic investigations have to process a large amount of collected data in a limited time. Moreover, we need to ensure collected data are not compromised before seizing suspects’ computers. For protecting evidences on important computers, this paper proposes a lightweight hypervisor that supports proactive collection and preservation of I/O logs. The proposed WaybackVisor automatically transfers all I/O logs of ATA drives to a Hadoop cluster. Our experiment showed the prototype implementation of WaybackVisor achieves write throughput of 79.7 MB/s. This paper also demonstrates timeline analysis functions for the I/O logs on the Hadoop cluster. Finally, we compared the proposed WaybackVisor with similar lightweight hypervisors that support live forensics.
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Acknowledgments
The authors thank Dr. Suguru Yamaguchi for his longstanding support for this research project. The authors thank developers and contributors of BitVisor. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions. This work was supported by JSPS KAKENHI Grant Number JP26330168 and JP17K00198.
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Hirano, M., Tsuzuki, T., Ikeda, S., Taka, N., Fujiwara, K., Kobayashi, R. (2017). WaybackVisor: Hypervisor-Based Scalable Live Forensic Architecture for Timeline Analysis. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_21
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