Tamias:安全かつプライベートな個人向け分散ストレージ

Jean Lorchat and Cristel Pelsser

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This 2013 national journal article, by Jean Lorchat and Cristel Pelsser, was published in IIJ Internet Infrastructure Review.

Abstract

The Tamias system is a distributed storage system that solves the problem of privacy protection through two types of encryption. Since the data stored on the server is encrypted, privacy can be protected even if the storage server is hosted by a third party. In addition, it is fault-tolerant due to its distributed architecture and the use of erasure coding. Tamias is based on the open-source Tahoe-LAFS distributed file system, and implements our proposed authentication and sharing features. Tamias is based on the open source Tahoe-LAFS distributed file system and implements our proposed authentication and sharing features.

Publication Details

Publication Type
Journal Article
Publication Date
May 2013
Published In
IIJ Internet Infrastructure Review
Volume & Issue
Vol. 19

Suggested citation

Jean Lorchat and Cristel Pelsser. 2013. Tamias:安全かつプライベートな個人向け分散ストレージ. IIJ Internet Infrastructure Review 19 (May 2013).

BibTeX Citation

@article{Lorchat2013,
	title        = {Tamias:安全かつプライベートな個人向け分散ストレージ},
	author       = {Jean Lorchat and Cristel Pelsser},
	year         = 2013,
	month        = may,
	journal      = {IIJ Internet Infrastructure Review},
	volume       = 19,
	abstract     = {
		The Tamias system is a distributed storage system that solves the problem of privacy protection through two types of encryption. Since the data stored on the server is encrypted, privacy can be protected even if the storage server is hosted by a third party.

		In addition, it is fault-tolerant due to its distributed architecture and the use of erasure coding. Tamias is based on the open-source Tahoe-LAFS distributed file system, and implements our proposed authentication and sharing features. Tamias is based on the open source Tahoe-LAFS distributed file system and implements our proposed authentication and sharing features.
	},
	groups       = {National Journals and Magazines}
}

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