Automated threat modelling and risk analysis in e-Government using BPMN

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2023-12-02 DOI:10.1080/09540091.2023.2284645

Daniele Granata, Massimiliano Rak, Giovanni Salzillo, Giacomo Di Guida, Salvatore Petrillo

引用次数: 0

Abstract

Recent progress integrates security requirements into BPMN, enhancing its framework. Extensions aim to seamlessly embed security concepts, yet the inherent ambiguity of security terms may lead to m...

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基于BPMN的电子政务自动威胁建模和风险分析

最近的进展是将安全需求集成到BPMN中，增强其框架。扩展的目标是无缝嵌入安全概念，然而安全术语固有的模糊性可能导致错误。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.