Title
Malicious documents detection for business process management based on multi-layer abstract model
Abstract
Edge security issues represented by document files propagation are becoming more and more serious in Business Process Management (BPM). Due to rich characteristics and functionalities, PDF and Office format have become the factual standard for the electronic document exchange in BPM, but people typically overlook the security threats from electronic documents. The detection of malicious documents can be done by extracting the embedded code analysis in the document to determine whether it is a malicious document, or by analyzing the counterattacks of malicious samples to achieve the detection of malicious code documents. In this paper, we propose to represent the documents using multi-layered abstraction for the structure, the scripting language, and the vector representation of documents. And build a unified malicious documents detection model based on multi-layers of abstraction in BPM. Based on the model, we test the performance of the proposed model and evaluation results show that the model has a satisfactory performance in malicious documents detection in BPM.
Year
DOI
Venue
2019
10.1016/j.future.2019.04.012
Future Generation Computer Systems
Keywords
DocType
Volume
Malicious documents,BPM,Abstract model,Vector representation,Documents security
Journal
99
ISSN
Citations 
PageRank 
0167-739X
1
0.35
References 
Authors
0
7
Name
Order
Citations
PageRank
Min Yu1119.99
Jianguo Jiang299.31
Gang Li338162.77
Chenzhe Lou410.35
Yunzheng Liu521.05
Chao Liu62510.08
Weiqing Huang7310.21