专栏征稿：数据驱动的信息安全

来源：电子学报英文

数据驱动的信息安全技术研究

随着人工智能、物联网、区块链为代表的新一代信息技术迅猛发展，人们已经习惯于信息技术带来的便利性，往往忽视了随之而来的安全隐忧。一方面，个人在享受各类信息服务资源的同时，外包了越来越多的用户数据。如果无法保证这些数据的安全性和合理使用，必将为个人甚至社会带来巨大隐患。另一方面，数据作为反映系统状态的重要信息来源，如何合理有效地利用数据，发挥数据价值，实现对信息系统状态的分析、诊断和预测，成为保障信息安全的重要手段。因此，以数据驱动为核心，保障数据产生、传输、存储、外包和交易等过程的安全性，并基于数据对系统安全性进行建模，提高模型适应性和分析能力，成为当前信息安全技术的研究热点。

本专栏旨在以数据驱动为核心，探索如何保障新一代信息技术应用过程中的数据安全问题，以及数据驱动的新一代信息技术安全理论、方法和模型，推动相关研究进展，欢迎相关领域的专家学者和科研人员踊跃投稿。征稿主题包含但不限于：

● 数据分类与定级理论、方法

● 数据内容安全分析理论、方法

● 云计算、物联网、区块链与人工智能中的数据安全

● 数据驱动的云计算、物联网、区块链与人工智能安全技术

● 数据驱动的故障诊断与容错控制

● 数据驱动的软件安全开发与测试技术

● 数据驱动的信息内容分析与决策

● 数据驱动的管理与决策前沿课题

重要时间与投稿须知

投稿截止时间：2020.11.30

初步录用后修改截止时间：2021.2.28

投稿入口：

http://www.ejournal.org.cn/JournalX_dzxb/authorLogOn.action?mag_Id=1

投稿时请在标题前加“Datadriven2020”字样

本刊特邀编委

杨震, 教授, 北京工业大学, 中国
范科峰, 研究员, 中国电子技术标准化研究院, 中国
Huan Liu, Professor, Arizona State University, IEEE Fellow, United States

Special Issue on Data-Driven Research in Information Security Technology

While people are enjoying the convenience brought about by the rapid development of the new generation of information technology by Artificial Intelligence, Internet of Things, and Blockchain, the security concerns accompanying the technology development are often ignored. The increasing data sharing among information service providers may be helpful in improving user experience, but may also exacerbate personal and social security problems. To ensure information security, data, as an indicator of the state of the system, must be utilized responsibly, reasonably and effectively to its full value in the analysis, diagnosis, and prediction of information. Thus, it is imperative to ensure security in data generation, transmission, storage, outsourcing and transaction processes while modeling system security and improving model adaptability and analysis capabilities.

This special issue is focused on data-driven approaches to ensuring data security in developing new-generation information technology. Specific topics of interest include but not limited to:
Data classification theories and methods
Data content security analysis theories and methods
Data security in cloud computing, Internet of Things, Blockchain and Artificial Intelligence
Data-driven cloud computing, Internet of Things, block-chain and artificial intelligence security technology
Data-driven fault diagnosis and fault tolerance control and management
Data-driven software security development and testing technology
Data-driven information content analysis and decision making
Frontier issues regarding data-driven management and decision-making 

LIST OF IMPORTANT DATES AND NOTES

Manuscript Submission Deadline Date:

30th November, 2020

Revised Papers Due Date: 

28th February, 2021

For submission please visit: 

http://www.ejournal.org.cn/JournalX_dzxb_en/authorLogOn.action?mag_Id=1

Please add "Datadriven2020" in front of your manuscript title.

GUEST EDITORS:

Zhen Yang, Professor, Beijing University of Technology, China
Kefeng Fan, Researcher, China Electronics Standardization Institute, China
Huan Liu, Professor, Arizona State University, IEEE Fellow, United States

公众号：电子学报英文

微信号：CJEjournal

邮    箱：cje@ejournal.org.cn

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