SCI一区期刊专辑征稿 | 社会大数据隐私、安全与前沿计算主题

开放隐私计算 2022-11-05

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期刊介绍

当前，全球各个国家、地区以及地方政府都把“数字政府”建设提上议事日程，社会大数据安全治理已成为数字政府建设的至关重要一环和各方关注的焦点问题。社会大数据治理研究正处于起步阶段，包括政务大数据、行业大数据和社会公共大数据在内的社会大数据面临着“信息孤岛”和“数据烟囱”，大数据安全融合、安全计算和行业企业数据资产评估等治理方面，面临着诸多挑战。

《Human-centric Computing and Information Sciences 》作为计算机科学领域的SCI一区期刊，据2021 Journal Citation Reports® (Clarivate Analytics, 2022)评估，影响因子达6.558，在COMPUTER SCIENCES, INFORMATION SYSTEMS类别中排名 27/164（一区）。近期设立“Special Issue on Human-centric Social Big Data Privacy, Security and Frontier computing（以人为中心的社会大数据隐私、安全与前沿计算专辑）”，旨在征集国内外在社会大数据隐私、安全与前沿计算领域的最新研究成果，包括大数据安全与隐私计算前沿基础理论方法、关键技术、应用系统和案例研究等，欢迎国内外大数据与人工智能、安全与隐私计算领域的专家学者、工程师和研究生投稿。

@HCIS 官方网站:

http://hcisj.com/issues/special_issues15.php

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征稿话题

本期特刊的主要目标是收集和展示最先进的社会大数据隐私、安全和前沿计算研究，以促进数字政府和数字社区的快速建立和发展。期刊鼓励来自学术界、工业界和政府的研究人员和工程师提交代表新颖理论、方法、案例研究和应用的高质量原创研究和综述文章。所有提交的论文都将根据其质量和与本期特刊主题的相关性进行同行评审和选择。感兴趣的主题包括但不限于：

以人为中心的社会大数据分析、建模与前沿计算
使用机器智能和人群智能的社会大数据安全和计算
网络社区中以人为本的社会情境元数据安全
社交大数据隐私计算、差分隐私与同态加密
社交大数据的零信任认证和动态访问控制
面向社会大数据安全的联邦学习/深度学习架构、模型和算法
以人为本的社会大数据融合与服务计算
社交大数据赋能新兴数字政务和社区应用
数字政府和社区的社会大数据安全案例研究

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重要日期

提交截止日期：2022 年 12 月 15 日
作者通知：投稿后4周内
修改稿到期：通知后2周内
录用通知：修改提交后2周内
暂定接受论文发表日期：定稿后2个月内
暂定 SI 论文集及其网络开放：2023 年第 2 季度（待定）

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投稿指南

所有提交的论文必须用英语清晰地书写表达，并且只包含原创作品。所有论文必须以电子格式提交，例如 PDF 格式（首选）或 MS Word。手稿应遵循样本手稿和参考文献的格式。可以参考提交菜单中的详细信息http://hcisj.com/submission/preparing_manuscript.php。

所有论文和一些补充材料应通过 ScholarOne Manuscripts 提交。作者在提交过程（https://mc04.manuscriptcentral.com/hcis）中的“文章类型”选择步骤时必须选择“SI2022-09 H-Social Big Data Privacy”。

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客座编辑

Zhiyong Zhang 教授[主编]
河南科技大学河南省网络空间安全应用国际联合实验室主任
邮箱：xidianzzy@126.com
Celestine Iwendi 教授
School of Creative Technologies, University of Bolton, United Kingdom
邮箱：c.iwendi@bolton.ac.uk
Longzhi Yang 教授
Department of Computer and Information Sciences, University of Northumbria, United Kingdom
邮箱：longzhi.yang@northumbria.ac.uk
Jun Yan 副教授
Concordia Institute for Information Systems Engineering, Concordia University, Canada
邮箱：jun.yan@concordia.ca

英文原版征稿通知：

Overview

Nowadays, some countries, regions and local governments around the world have put the construction of “digital government” and “digital community” on the agenda, and the security governance of human-centric social big data has become a crucial part of the construction of digital government and the focus of attention of all parties. The research and governance of social big data, including government big data, industry big data and social public big data, are faced with “isolated island of information” and “data chimneys”, as well as many challenges in the governance of big data security integration, security computing and industry enterprise data asset evaluation.

The main research currently being carried out by academia and industry includes the use of AI cutting-edge technologies and new computing paradigms to integrate into human-centric social big data governance research, and the exploration of security theory for the whole domain, whole process and whole life cycle of social big data. Research the social big data security fusion architecture and homomorphic encryption technology based on federated learning, so as to realize the privacy protection and maximize the value of social big data in the fusion of sensitive data of all parties. Research the hybrid attention mechanism algorithm and anti-attack method based on deep learning and explore the relationship between the manifold of the original sample space and mobility, so as to effectively improve the endogenous security of social big data analysis algorithm. Introduce human and crowd intelligence into big data asset value evaluation to improve the effectiveness, credibility, and security of data asset evaluation of industrial enterprises. Moreover, through the construction of a social big data security comprehensive management platform for digital government and community, standardization and industrialization demonstration applications are realized, etc.

Topics of Interests

The main goal of this special issue is to collect and present the state-of-art social big data privacy, security and frontier computing research for the rapid establishment and development of both digital government and digital community. We encourage researchers and engineers from academia, industry and government to submit high-quality original research and survey articles that represent novel theories, methodologies, case studies and applications. All submitted papers will be peer-reviewed and selected based on both their quality and their relevance to the theme of this special issue. Topics of interests include, but are not limited to:

Human-centric Social Big Data Analysis, Modeling and Frontier Computing
Social Big Data Security and Computing by using Machine Intelligence and Human Crowd Intelligence
Human-centric Social Situational Meta Data Security in Online Community
Social Big Data Privacy Computing, Differential Privacy and Homomorphic Encryption
Zero Trust Authentication and Dynamic Access Control over Social Big Data
Federated Learning/Deep Learning Architecture, Model an Algorithm for Social Big Data Security
Human-centric Social Big Data Fusion and Service Computing
Social Big Data Enabled Emerging Digital Government and Community Applications
Social Big Data Security Case Studies for Digital Government and Community

Important Dates

Submission deadline : 15 December 2022
Author notification : within 4 weeks after submission
Revised manuscript due : within 2 weeks after notification
Notification of acceptance : within 2 weeks after revision submission
Tentative accepted paper publication date : within 2 months after final version
Tentative SI paper collection and its web open: 2nd Quarter, 2023 (TBA)

Submission Guidelines

All submitted papers must be clearly written in excellent English and contain only original work. All papers must be submitted in an electronic format, e.g., PDF format (preferred) or MS Word. Manuscripts should follow the formatting of the sample manuscript and references. You can refer to the details in the submission menu

http://hcisj.com/submission/preparing_manuscript.php

All papers and some supplementary materials should be submitted through ScholarOne Manuscripts. The authors must select "SI2022-09 H-Social Big Data Privacy". when they reach the “Article Type” step in the submission process https://mc04.manuscriptcentral.com/hcis

Guest Editors

Prof. Dr. Zhiyong Zhang [Lead Guest Editor]
Director of Henan International Joint Laboratory of Cyberspace Security Applications, Henan University of Science and Technology, China
Email: xidianzzy@126.com
Prof. Dr. Celestine Iwendi
School of Creative Technologies, University of Bolton, United Kingdom
Email: c.iwendi@bolton.ac.uk
Prof. Dr. Longzhi Yang
Department of Computer and Information Sciences, University of Northumbria, United Kingdom
Email: longzhi.yang@northumbria.ac.uk
Assoc. Prof. Dr. Jun Yan
Concordia Institute for Information Systems Engineering, Concordia University, Canada
Email: jun.yan@concordia.ca