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

机译:基于多层抽象模型的业务流程管理恶意文档检测

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摘要

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. (C) 2019 Elsevier B.V. All rights reserved.
机译:在业务流程管理(BPM)中,以文档文件传播为代表的边缘安全问题变得越来越严重。由于具有丰富的特性和功能,PDF和Office格式已成为BPM中电子文档交换的事实标准,但是人们通常忽略了电子文档的安全威胁。可以通过提取文档中的嵌入式代码分析来确定它是否为恶意文档,或者通过分析恶意样本的反击来实现对恶意代码文档的检测,从而完成对恶意文档的检测。在本文中,我们建议使用多层抽象来表示文档的结构,脚本语言和文档的矢量表示。并建立了基于BPM多层抽象的统一恶意文档检测模型。基于该模型,我们测试了该模型的性能,评估结果表明该模型在BPM中的恶意文档检测中具有令人满意的性能。 (C)2019 Elsevier B.V.保留所有权利。

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