Software development and runtime environment for self-governing openness of data

Yijian WU; Shizhuang CHEN; Jiali GE; Wenyun ZHAO

doi:10.11959/j.issn.2096-0271.2018016

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Software development and runtime environment for self-governing openness of data

TOPIC：SELF-GOVERNING OPENNESS OF DATA | 更新时间：2024-06-03

- Software development and runtime environment for self-governing openness of data
- Big data research Vol. 4, Issue 2, Pages: 2018016(2018)
- 作者机构：
  
  1. 复旦大学计算机科学技术学院，上海 201203
  2. 上海市数据科学重点实验室，上海 201203
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2018016
  CLC： TP311.5
- Online First：2018-03，
  
  Published：15 March 2018
- 稿件说明：
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Yijian WU, Shizhuang CHEN, Jiali GE, et al. Software development and runtime environment for self-governing openness of data[J]. Big data research, 2018, 4(2): 2018016.
DOI：

Yijian WU, Shizhuang CHEN, Jiali GE, et al. Software development and runtime environment for self-governing openness of data[J]. Big data research, 2018, 4(2): 2018016. DOI： 10.11959/j.issn.2096-0271.2018016.

摘要

数据自治开放是数据开放的一种新形式，能保护数据拥有者的合法权益。数据自治开放这一新的数据开放模式要求软件开发和运行环境能从应用的需求描述、应用开发和调试、应用运行监控等方面进行全方位的支持。给出了支持数据自治开放的软件开发和运行环境的总体设计，阐述了支持软件行为管控的数据自治开放应用开发全过程，从而实现数据自治开放中数据的全生命周期管理，说明了建设数据自治开放的软件开发运行基础设施的可行性。

Abstract

Self-governing openness of data is a new form of the openness of data

which enables protecting interests of data owners.Self-governing openness of data requires full supports of software development and runtime environment in the fields of requirements description

development and debugging

and monitoring applications execution.An overall design of the software development and runtime environment for self-governed openness of data was presented

and the whole application development process for self-governing openness of data that supports software behavior monitoring and control was illustrated.Full life-cycle management of data in self-governing openness of data was enabled and the feasibility of the software development and runtime infrastructure for self-governing openness of data was shown.

关键词

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references

周大铭 . 我国政府数据开放现状和保障机制 [J ] . 大数据 , 2015 , 1 ( 2 ): 19 - 30 .

ZHOU D M . Status and safeguard mechanisms of Chinese government data opening [J ] . Big Data Research , 2015 , 1 ( 2 ): 19 - 30 .

CLAPP L , ANAND S , AIKEN A . Modelgen:mining explicit information flow specifications from concrete executions [C ] // ISSTA,July 14-17,2015,Baltimore,USA . New York:ACM Press , 2015 : 129 - 140 .

XU H , ZHOU Y F , GAO CY , et al . SpyAware:investigating the privacy leakage signatures in app execution traces [C ] // ISSRE,November 2-5,2015,Gaithersbury,USA . Piscataway:IEEE Press , 2015 : 348 - 358 .

LI L , BARTEL A , BISSYANDE T F , et al . IccTA:detecting inter-component privacy leaks in android Apps [C ] // ICSE,May 16-24,2015,Florence,Italy . Piscataway:IEEE Press , 2015 : 280 - 291 .

KLIEBER W , FLYNN L , BHOSALE A , et al . Android taint flow analysis for app sets [C ] // The 3rd ACM SIGPLAN International Workshop on the State of the Art in Java Program Analysis （SOAP’14）,June 9-11,2014,Edinburgh,UK . New York:ACM Press , 2014 : 1 - 6 .

FENG Y , ANAND S , DILLIG I , et al . Apposcopy:semantics-based detection of android malware through static analysis [C ] // The 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2014),November 16-22,2014,Hong Kong,China . New York:ACM Press , 2014 .

RASTHOFER S , ARZT S , BODDEN E . A machine-learning approach for classifying and categorizing Android sources and sinks [C ] // Network and Distributed System Security Symposium,February 23-26,2014 , San Diego,USA .[S.l:s.n ] , 2014 .

KRKA I , BRUN Y , POPESCU D , et al . Using dynamic execution traces and program invariants to enhance behavioral model inference [C ] // ICSE,May 2-8,2010,Cape Town,South Africa . New York:ACM Press , 2010 : 179 - 182 .

GAFNY M , SHABTAI A , ROKACH L , et al . Detecting data misuse by applying context-based data linkage [C ] // The 2010 ACM Workshop on Insider Threats,October 8,2010,Hyatt Regency,USA . New York:ACM Press , 2010 : 3 - 12 .

张兴科 . 数据挖掘在Web日志分析中的应用 [J ] . 微处理机 , 2009 , 30 ( 3 ): 80 - 83 .

ZHANG X K . The study on data mining algorithm and application in Web log analysis [J ] . Microprocessors , 2009 , 30 ( 3 ): 80 - 83 .

赵龙 , 江荣安 . 基于Hive的海量搜索日志分析系统研究 [J ] . 计算机应用研究 , 2013 , 30 ( 11 ): 3343 - 3345 .

ZHAO L , JIANG R A . Research of massive searching logs analysis system based on Hive [J ] . Application Research of Computers , 2013 , 30 ( 11 ): 3343 - 3345 .

朱金清 , 王建新 , 陈志泊 . 基于APRIORI的层次化聚类算法及其在IDS日志分析中的应用 [J ] . 计算机研究与发展 , 2007 , 44 ( s3 ): 326 - 330 .

ZHU J Q , WANG J X , CHEN Z B . Aprioribased hiberarchical clustering algorithm and its application on IDS log analysis [J ] . Journal of Computer Research and Development , 2007 , 44 ( s3 ): 326 - 330 .

ZAMORA J , MENDOZA M , ALLENDE E . Query intent detection based on query log mining [J ] . Journal of Web Engineering , 2014 , 13 ( 1-2 ): 24 - 52 .

YANG K , JIA X H , REN K . Secure and verifiable policy update outsourcing for big data access control in the cloud [J ] . IEEE Transactions on Parallel and Distributed Systems , 2015 , 26 ( 12 ): 3461 - 3470 .

YANG K , JIA X H , REN K , et al . DACMACS:effective data access control for multi-authority cloud storage systems [J ] . IEEE Transactions on Information Forensics and Security , 2013 , 8 ( 11 ): 1790 - 1801 .

ROOS A , DRÜSEDOW S , HOSSEINI M I , et al . Trust level based data storage and data access control in a distributed storage environment [C ] // The 8th IEEE International Conference on Mobile Cloud Computing (MobileCloud),June 27-July 2,2015,New York,USA . Piscataway:IEEE Press , 2015 : 169 - 176 .

方滨兴 , 贾焰 , 李爱平 , 等 . 大数据隐私保护技术综述 [J ] . 大数据 , 2016 , 2 ( 1 ): 1 - 18 .

FANG B X , JIA Y , LI A P , et al . Privacy preservation in big data:a survey [J ] . Big Data Research , 2016 , 2 ( 1 ): 1 - 18 .

高丰 . 开放数据:概念、现状与机遇 [J ] . 大数据 , 2015 , 1 ( 2 ): 9 - 18 .

GAO F . Open data:concept,current situation and opportunity [J ] . Big Data Research , 2015 , 1 ( 2 ): 9 - 18 .

朱扬勇 , 熊贇 . 大数据是数据、技术,还是应用 [J ] . 大数据 , 2015 , 1 ( 1 ): 71 - 81 .

ZHU Y Y , XIONG Y . Defining big data [J ] . Big Data Research , 2015 , 1 ( 1 ): 71 - 81 .

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