A Study to Improving Anomaly Detection in a TS Workflow

Feng-Jian Wang; Thanh Thuy Thi Nguyen; Tennyson Lu

doi:10.1109/COMPSAC.2016.228

A Study to Improving Anomaly Detection in a TS Workflow

Feng-Jian Wang^*, Thanh Thuy Thi Nguyen, Tennyson Lu

^*Corresponding author for this work

Department of Computer Science

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

2 Scopus citations

Abstract

The analysis for the behavior of the artifacts adopted in a workflow can help preventing the execution errors. A temporal (structured) workflow, TS Workflow, is described with the min and max execution time intervals for each process and modeled by control structures (Sequence, AND, XOR, Loop). In the past, the anomalous behaviors of artifacts in a workflow are redefined to simplify artifact analysis in a workflow. However, some anomalies detected in the previous work might not occur if the temporal factors are considered in each process, because their corresponding processes cannot run continuously or concurrently due to temporal factors. In this work, the analysis work is improved by filtering out above anomalies in a TS workflow. Our work also handles the loop structure that complicates the analysis work and was not concerned in conventional analysis works.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016
Editors	Ling Liu, Dejan Milojicic, Zhiyong Zhang, Zhiyong Zhang, Sheikh Iqbal Ahamed, Hiroyuki Sato, Stevlio Cimato, William Claycomb, Sorel Reisman, Motonori Nakamura, Chung Horng Lung, Mihhail Matskin
Publisher	IEEE Computer Society
Pages	141-148
Number of pages	8
ISBN (Electronic)	9781467388450
DOIs	https://doi.org/10.1109/COMPSAC.2016.228
State	Published - 24 Aug 2016
Event	2016 IEEE 40th Annual Computer Software and Applications Conference, COMPSAC 2016 - Atlanta, United States Duration: 10 Jun 2016 → 14 Jun 2016

Publication series

Name	Proceedings - International Computer Software and Applications Conference
Volume	2
ISSN (Print)	0730-3157

Conference

Conference	2016 IEEE 40th Annual Computer Software and Applications Conference, COMPSAC 2016
Country/Territory	United States
City	Atlanta
Period	10/06/16 → 14/06/16

Keywords

anomalous behavior
artifact anomaly detection
temporal structured workflow

Access to Document

10.1109/COMPSAC.2016.228

Cite this

Wang, F-J., Nguyen, T. T. T., & Lu, T. (2016). A Study to Improving Anomaly Detection in a TS Workflow. In L. Liu, D. Milojicic, Z. Zhang, Z. Zhang, S. I. Ahamed, H. Sato, S. Cimato, W. Claycomb, S. Reisman, M. Nakamura, C. H. Lung, & M. Matskin (Eds.), Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016 (pp. 141-148). [7552194] (Proceedings - International Computer Software and Applications Conference; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2016.228

Wang, Feng-Jian ; Nguyen, Thanh Thuy Thi ; Lu, Tennyson. / A Study to Improving Anomaly Detection in a TS Workflow. Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016. editor / Ling Liu ; Dejan Milojicic ; Zhiyong Zhang ; Zhiyong Zhang ; Sheikh Iqbal Ahamed ; Hiroyuki Sato ; Stevlio Cimato ; William Claycomb ; Sorel Reisman ; Motonori Nakamura ; Chung Horng Lung ; Mihhail Matskin. IEEE Computer Society, 2016. pp. 141-148 (Proceedings - International Computer Software and Applications Conference).

@inproceedings{2e5e479b105748579fcd4a0870abd0fc,

title = "A Study to Improving Anomaly Detection in a TS Workflow",

abstract = "The analysis for the behavior of the artifacts adopted in a workflow can help preventing the execution errors. A temporal (structured) workflow, TS Workflow, is described with the min and max execution time intervals for each process and modeled by control structures (Sequence, AND, XOR, Loop). In the past, the anomalous behaviors of artifacts in a workflow are redefined to simplify artifact analysis in a workflow. However, some anomalies detected in the previous work might not occur if the temporal factors are considered in each process, because their corresponding processes cannot run continuously or concurrently due to temporal factors. In this work, the analysis work is improved by filtering out above anomalies in a TS workflow. Our work also handles the loop structure that complicates the analysis work and was not concerned in conventional analysis works.",

keywords = "anomalous behavior, artifact anomaly detection, temporal structured workflow",

author = "Feng-Jian Wang and Nguyen, {Thanh Thuy Thi} and Tennyson Lu",

year = "2016",

month = aug,

day = "24",

doi = "10.1109/COMPSAC.2016.228",

language = "English",

series = "Proceedings - International Computer Software and Applications Conference",

publisher = "IEEE Computer Society",

pages = "141--148",

editor = "Ling Liu and Dejan Milojicic and Zhiyong Zhang and Zhiyong Zhang and Ahamed, {Sheikh Iqbal} and Hiroyuki Sato and Stevlio Cimato and William Claycomb and Sorel Reisman and Motonori Nakamura and Lung, {Chung Horng} and Mihhail Matskin",

booktitle = "Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016",

address = "United States",

note = "2016 IEEE 40th Annual Computer Software and Applications Conference, COMPSAC 2016 ; Conference date: 10-06-2016 Through 14-06-2016",

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Wang, F-J, Nguyen, TTT & Lu, T 2016, A Study to Improving Anomaly Detection in a TS Workflow. in L Liu, D Milojicic, Z Zhang, Z Zhang, SI Ahamed, H Sato, S Cimato, W Claycomb, S Reisman, M Nakamura, CH Lung & M Matskin (eds), Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016., 7552194, Proceedings - International Computer Software and Applications Conference, vol. 2, IEEE Computer Society, pp. 141-148, 2016 IEEE 40th Annual Computer Software and Applications Conference, COMPSAC 2016, Atlanta, United States, 10/06/16. https://doi.org/10.1109/COMPSAC.2016.228

A Study to Improving Anomaly Detection in a TS Workflow. / Wang, Feng-Jian; Nguyen, Thanh Thuy Thi; Lu, Tennyson.
Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016. ed. / Ling Liu; Dejan Milojicic; Zhiyong Zhang; Zhiyong Zhang; Sheikh Iqbal Ahamed; Hiroyuki Sato; Stevlio Cimato; William Claycomb; Sorel Reisman; Motonori Nakamura; Chung Horng Lung; Mihhail Matskin. IEEE Computer Society, 2016. p. 141-148 7552194 (Proceedings - International Computer Software and Applications Conference; Vol. 2).

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

TY - GEN

T1 - A Study to Improving Anomaly Detection in a TS Workflow

AU - Wang, Feng-Jian

AU - Nguyen, Thanh Thuy Thi

AU - Lu, Tennyson

PY - 2016/8/24

Y1 - 2016/8/24

N2 - The analysis for the behavior of the artifacts adopted in a workflow can help preventing the execution errors. A temporal (structured) workflow, TS Workflow, is described with the min and max execution time intervals for each process and modeled by control structures (Sequence, AND, XOR, Loop). In the past, the anomalous behaviors of artifacts in a workflow are redefined to simplify artifact analysis in a workflow. However, some anomalies detected in the previous work might not occur if the temporal factors are considered in each process, because their corresponding processes cannot run continuously or concurrently due to temporal factors. In this work, the analysis work is improved by filtering out above anomalies in a TS workflow. Our work also handles the loop structure that complicates the analysis work and was not concerned in conventional analysis works.

AB - The analysis for the behavior of the artifacts adopted in a workflow can help preventing the execution errors. A temporal (structured) workflow, TS Workflow, is described with the min and max execution time intervals for each process and modeled by control structures (Sequence, AND, XOR, Loop). In the past, the anomalous behaviors of artifacts in a workflow are redefined to simplify artifact analysis in a workflow. However, some anomalies detected in the previous work might not occur if the temporal factors are considered in each process, because their corresponding processes cannot run continuously or concurrently due to temporal factors. In this work, the analysis work is improved by filtering out above anomalies in a TS workflow. Our work also handles the loop structure that complicates the analysis work and was not concerned in conventional analysis works.

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BT - Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016

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A2 - Milojicic, Dejan

A2 - Zhang, Zhiyong

A2 - Ahamed, Sheikh Iqbal

A2 - Sato, Hiroyuki

A2 - Cimato, Stevlio

A2 - Claycomb, William

A2 - Reisman, Sorel

A2 - Nakamura, Motonori

A2 - Lung, Chung Horng

A2 - Matskin, Mihhail

PB - IEEE Computer Society

T2 - 2016 IEEE 40th Annual Computer Software and Applications Conference, COMPSAC 2016

Y2 - 10 June 2016 through 14 June 2016

ER -

Wang F-J, Nguyen TTT, Lu T. A Study to Improving Anomaly Detection in a TS Workflow. In Liu L, Milojicic D, Zhang Z, Zhang Z, Ahamed SI, Sato H, Cimato S, Claycomb W, Reisman S, Nakamura M, Lung CH, Matskin M, editors, Proceedings - 2016 IEEE 40th Annual Computer Software and Applications Conference Workshops, COMPSAC 2016. IEEE Computer Society. 2016. p. 141-148. 7552194. (Proceedings - International Computer Software and Applications Conference). doi: 10.1109/COMPSAC.2016.228

A Study to Improving Anomaly Detection in a TS Workflow

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Keywords

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