Huang ZhiQiu

Professor  

Alma Mater:南京航空航天大学

Education Level:南京航空航天大学

Degree:Doctoral Degree in Engineering

School/Department:College of Computer Science and Technology

Discipline:Cyberspace Security. Computer Science and Technology. Software Engineering

Contact Information:025-84892400

E-Mail:


Paper Publications

Using information flow analysis to detect implicit information leaks for web service composition

Hits:

Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院

Journal:FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING

Key Words:Information flow analysis Business process execution language Petri net Interference

Abstract:Information leak, which can undermine the compliance of web-service-composition business processes for some policies, is one of the major concerns in web service composition. We present an automated and effective approach for the detection of implicit information leaks in business process execution language (BPEL) based on information flow analysis. We introduce an adequate meta-model for BPEL representation based on a Petri net for transformation and analysis. Building on the concept of Petri net place-based noninterference, the core contribution of this paper is the application of a Petri net reachability graph to estimate Petri net interference and thereby to detect implicit information leaks in web service composition. In addition, a case study illustrates the application of the approach on a concrete workflow in BPEL notation.

ISSN No.:2095-9184

Translation or Not:no

Date of Publication:2018-04-01

Co-author:Jiang, Jia-xin,Ma, Wei-wei,Cao, Yan

Correspondence Author:Huang ZhiQiu

Pre One:Heterogeneous graphene oxide membrane for rectified ion transport

Next One:Preserving privacy information flow security in composite service evolution

Profile

黄志球,男,博士,教授,博士生导师,国家教育部计算机基础教学(理工类)指导委员会委员,国防科技工业质量专家委员会委员 ,中国计算机学会理事、“系统软件”专业委员会副主任、“软件工程”委员,中国电子学会软件定义推进委员会委员,IEEE计算机学会南京分会副主席,CCF南京主席,江苏省计算机学会常务理事,江苏省软件人才基金会理事,工信部重点实验室“高安全系统的软件开发与验证重点实验室”主任

主要研究方向为工业软件、智能化软件工程、网络空间安全、大数据和云计算等。

近年来承担国家重点研发计划课题、863高技术项目、国家自然科学基金以及各类国防科技型号项目30余项。发表SCIEI和核心期刊论文100余篇;已培养博士近20名,硕士100余名。获得教育部自然科学奖二等奖1项,省部级科技进步二等奖2项,省部级科技进步三等奖2项,省部级教学成果二等奖2项。