Data flow incompatible vulnerability analysis and detection for networked collaborative design business process

Huaizhi Yan; Wenwen Ye; Jihu Zhang

doi:10.1007/978-81-322-1759-6_38

Data flow incompatible vulnerability analysis and detection for networked collaborative design business process

Huaizhi Yan^*, Wenwen Ye, Jihu Zhang

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a data flow incompatible vulnerability detection method for networked collaborative design (NCD) business process. First, we analyze the collaborative design network composition and its business process characteristics, while the business process and data flow is discussed. Then, combined with the characteristics of cooperative design workflow, the causes of the data flow incompatible vulnerabilities are analyzed and description method of the activity diagram data flow incompatible vulnerability is given. According to the business process model of active incompatible vulnerability, business process models were constructed for its detection, and vulnerability detection algorithm is proposed based on the description logic, which is used to detect collaborative design business process data flow incompatible vulnerability. Finally, the experiment and conclusion are given here.

Original language	English
Title of host publication	International Conference on Computer Science and Information Technology, CSAIT 2013, Proceedings
Editors	Srikanta Patnaik, Xiaolong Li
Publisher	Springer Verlag
Pages	317-323
Number of pages	7
ISBN (Electronic)	9788132217589
DOIs	https://doi.org/10.1007/978-81-322-1759-6_38
Publication status	Published - 2014
Externally published	Yes
Event	International Conference on Computer Science and Information Technology, CSAIT 2013 - Kunming, China Duration: 21 Sept 2013 → 23 Sept 2013

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	255
ISSN (Print)	2194-5357

Conference

Conference	International Conference on Computer Science and Information Technology, CSAIT 2013
Country/Territory	China
City	Kunming
Period	21/09/13 → 23/09/13

Keywords

Business process
Incompatible vulnerability detection
Networked collaborative design

Access to Document

10.1007/978-81-322-1759-6_38

Cite this

Yan, H., Ye, W., & Zhang, J. (2014). Data flow incompatible vulnerability analysis and detection for networked collaborative design business process. In S. Patnaik, & X. Li (Eds.), International Conference on Computer Science and Information Technology, CSAIT 2013, Proceedings (pp. 317-323). (Advances in Intelligent Systems and Computing; Vol. 255). Springer Verlag. https://doi.org/10.1007/978-81-322-1759-6_38

Yan, Huaizhi ; Ye, Wenwen ; Zhang, Jihu. / Data flow incompatible vulnerability analysis and detection for networked collaborative design business process. International Conference on Computer Science and Information Technology, CSAIT 2013, Proceedings. editor / Srikanta Patnaik ; Xiaolong Li. Springer Verlag, 2014. pp. 317-323 (Advances in Intelligent Systems and Computing).

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title = "Data flow incompatible vulnerability analysis and detection for networked collaborative design business process",

abstract = "This paper presents a data flow incompatible vulnerability detection method for networked collaborative design (NCD) business process. First, we analyze the collaborative design network composition and its business process characteristics, while the business process and data flow is discussed. Then, combined with the characteristics of cooperative design workflow, the causes of the data flow incompatible vulnerabilities are analyzed and description method of the activity diagram data flow incompatible vulnerability is given. According to the business process model of active incompatible vulnerability, business process models were constructed for its detection, and vulnerability detection algorithm is proposed based on the description logic, which is used to detect collaborative design business process data flow incompatible vulnerability. Finally, the experiment and conclusion are given here.",

keywords = "Business process, Incompatible vulnerability detection, Networked collaborative design",

author = "Huaizhi Yan and Wenwen Ye and Jihu Zhang",

note = "Publisher Copyright: {\textcopyright} Springer India 2014.; International Conference on Computer Science and Information Technology, CSAIT 2013 ; Conference date: 21-09-2013 Through 23-09-2013",

year = "2014",

doi = "10.1007/978-81-322-1759-6\_38",

language = "English",

series = "Advances in Intelligent Systems and Computing",

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editor = "Srikanta Patnaik and Xiaolong Li",

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Yan, H, Ye, W & Zhang, J 2014, Data flow incompatible vulnerability analysis and detection for networked collaborative design business process. in S Patnaik & X Li (eds), International Conference on Computer Science and Information Technology, CSAIT 2013, Proceedings. Advances in Intelligent Systems and Computing, vol. 255, Springer Verlag, pp. 317-323, International Conference on Computer Science and Information Technology, CSAIT 2013, Kunming, China, 21/09/13. https://doi.org/10.1007/978-81-322-1759-6_38

Data flow incompatible vulnerability analysis and detection for networked collaborative design business process. / Yan, Huaizhi; Ye, Wenwen; Zhang, Jihu.
International Conference on Computer Science and Information Technology, CSAIT 2013, Proceedings. ed. / Srikanta Patnaik; Xiaolong Li. Springer Verlag, 2014. p. 317-323 (Advances in Intelligent Systems and Computing; Vol. 255).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Data flow incompatible vulnerability analysis and detection for networked collaborative design business process

AU - Yan, Huaizhi

AU - Ye, Wenwen

AU - Zhang, Jihu

N1 - Publisher Copyright: © Springer India 2014.

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Y1 - 2014

N2 - This paper presents a data flow incompatible vulnerability detection method for networked collaborative design (NCD) business process. First, we analyze the collaborative design network composition and its business process characteristics, while the business process and data flow is discussed. Then, combined with the characteristics of cooperative design workflow, the causes of the data flow incompatible vulnerabilities are analyzed and description method of the activity diagram data flow incompatible vulnerability is given. According to the business process model of active incompatible vulnerability, business process models were constructed for its detection, and vulnerability detection algorithm is proposed based on the description logic, which is used to detect collaborative design business process data flow incompatible vulnerability. Finally, the experiment and conclusion are given here.

AB - This paper presents a data flow incompatible vulnerability detection method for networked collaborative design (NCD) business process. First, we analyze the collaborative design network composition and its business process characteristics, while the business process and data flow is discussed. Then, combined with the characteristics of cooperative design workflow, the causes of the data flow incompatible vulnerabilities are analyzed and description method of the activity diagram data flow incompatible vulnerability is given. According to the business process model of active incompatible vulnerability, business process models were constructed for its detection, and vulnerability detection algorithm is proposed based on the description logic, which is used to detect collaborative design business process data flow incompatible vulnerability. Finally, the experiment and conclusion are given here.

KW - Business process

KW - Incompatible vulnerability detection

KW - Networked collaborative design

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Yan H, Ye W, Zhang J. Data flow incompatible vulnerability analysis and detection for networked collaborative design business process. In Patnaik S, Li X, editors, International Conference on Computer Science and Information Technology, CSAIT 2013, Proceedings. Springer Verlag. 2014. p. 317-323. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-81-322-1759-6_38

Data flow incompatible vulnerability analysis and detection for networked collaborative design business process

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