Secure and fast aggregation of financial data in cloud-based expense tracking applications

Juan Camilo Corena, Tomoaki Ohtsuki

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Tracking expenses is a task performed in homes and businesses worldwide; for personal finances, the practice of organizing receipts for refunds or summarizing its contents for purposes such as budget planning and tax submission, has been recently aided by different services; these allow automatic collection of receipts either at store terminals or using a photo of the receipt submitted by the user, which can be later accessed using an online interface. Given the importance of financial information and the inherent danger introduced by these services, we present in this article an architecture based on additive homomorphic cryptosystems and secret sharing schemes to store information securely while still allowing fast aggregation queries at an outsourced untrusted cloud server. The proposal was evaluated in terms of security, server load, amount of user interaction, computational load at the acquiring terminal and computational load at the untrusted server.

Original languageEnglish
Pages (from-to)534-560
Number of pages27
JournalJournal of Network and Systems Management
Volume20
Issue number4
DOIs
Publication statusPublished - 2012 Dec

Fingerprint

Servers
Agglomeration
Finance
Taxation
Cryptography
Planning
Expenses
Financial data
Industry
Tax
Secret sharing
Personal finance
Query
Refunds
Financial information
Organizing
Interaction

Keywords

  • Cloud database
  • Encrypted database
  • Homomorphic encryption
  • Online receipts

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Strategy and Management

Cite this

Secure and fast aggregation of financial data in cloud-based expense tracking applications. / Corena, Juan Camilo; Ohtsuki, Tomoaki.

In: Journal of Network and Systems Management, Vol. 20, No. 4, 12.2012, p. 534-560.

Research output: Contribution to journalArticle

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