Malicious documents detection for business process management based on multi-layer abstract model

Yu, Min, Jiang, Jianguo, Li, Gang, Lou, Chenzhe, Liu, Yunzheng, Liu, Chao and Huang, Weiqing 2019, Malicious documents detection for business process management based on multi-layer abstract model, Future generation computer systems, vol. 99, pp. 517-526, doi: 10.1016/j.future.2019.04.012.

Attached Files
Name Description MIMEType Size Downloads

Title Malicious documents detection for business process management based on multi-layer abstract model
Author(s) Yu, Min
Jiang, Jianguo
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Lou, Chenzhe
Liu, Yunzheng
Liu, Chao
Huang, Weiqing
Journal name Future generation computer systems
Volume number 99
Start page 517
End page 526
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-10
ISSN 0167-739X
Keyword(s) Malicious documents
BPM
Abstract model
Vector representation
Documents security
Language eng
DOI 10.1016/j.future.2019.04.012
Field of Research 0805 Distributed Computing
0806 Information Systems
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30122049

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 46 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Mon, 27 May 2019, 13:51:14 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.