Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
874-878

Generic provenance sanitization framework based on primitives

Sun Lianshan
Ma Shengtian
Chen Xiuting
School of Electronic Information & Artificial Intelligence, Shaanxi University of Science & Technology, Xi'an 710021, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0348

Abstract

The genericity of existing data provenance sanitization mechanisms is very low. One mechanism is usually used to deal with one specific type of sensitive elements. It is still very difficult to deal with comprehensive sanitization requirements including multiple types of sensitive elements in a disciplined manner. To address this issue, this paper proposed a primitive-based generic framework of provenance sanitization. Firstly, this paper introduced the types of sensitive provenance elements and structural constraints that might be involved in data provenance sanitization. Secondly, it thoroughly analyzed existing provenance sanitization mechanisms and formally defined a set of provenance sanitization primitives. Each primitive was a minimal operation for editing a provenance graph. This paper divided the overall process of data provenance sanitization into three stages: hiding sensitive elements, recovering insensitive dependencies, and verifying constraints. Furthermore, it proposed a method for constructing the space of sanitization strategies by selecting and composing possible sanitization primitives stage by stage. Finally, this paper designed and implemented a primitive-based generic provenance sanitization algorithm. The experimental results in public provenance datasets verity the effectiveness of the proposed method.

Foundation Support

国家自然科学基金资助项目(61202019)
陕西省自然科学基础研究计划资助项目(2019JM-354)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0348
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Technology of Information Security
Pages: 874-878
Serial Number: 1001-3695(2022)03-040-0874-05

Publish History

[2021-11-16] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

孙连山, 马胜天, 陈秀婷. 基于原语的通用起源过滤框架 [J]. 计算机应用研究, 2022, 39 (3): 874-878. (Sun Lianshan, Ma Shengtian, Chen Xiuting. Generic provenance sanitization framework based on primitives [J]. Application Research of Computers, 2022, 39 (3): 874-878. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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