SPECIAL ISSUES
[CLOSED] AI-Enabled and Human-Centric Computing for Online Social Networks Security, Privacy and Trust
2020.02.24
Online social networks (OSNs) are now deeply entrenched in our society and daily lives. This is not surprisingly as such platforms, tools, applications and services allow us to conveniently acquire, exchange and share data, information, and knowledge on a much larger scale, and without geographic restriction. This has also contributed to trends such as the emerging AI-enabled and human-centric frontier computing driven by social media big data, including new computing paradigms, e.g., aware computing and (social) situation analytics, to facilitate social data mining and knowledge discovery. There are, however, security, privacy and trustworthiness issues that need to be addressed by integrating artificial intelligence theories and methods, such as based on the ML/DL/causality inference, as well as human-centric and hardware controlled online social networks features. This is the focus of this thematic issue. More specifically, we are seeking to investigate the emerging AI-enabled and human-centric computing challenges and their state-of-the-art theories, models, algorithms and solutions.
SUBJECT COVERAGE
Journal of Information Processing Systems is soliciting high quality manuscripts presenting original contributions for its special issue. In this thematic issue, we solicit the submission of high-quality original research and survey articles in topics including, but are not limited to, particularly interdisciplinary submissions that bring together social media, security, privacy and trust researchers.
- - AI and Frontier human-centric computing paradigms for OSNs security
- - ML/DL/causality inference models and algorithms for social big data security analysis
- - Social IOT and hardware controlled online security features for social computing
- - Computational intelligence for social behavior analysis, social bots checking and controlling
- - Fine-grained and spatial-temporal-featured privacy protection employed by AI
- - Social big data-driven trust management and risk assessment, as well as social-factor considerations in the social ecosystems
- - Human-centric OSNs security prototypes and empirical studies together with social big data applications
SUBMISSION GUIDELINE
Papers must be submitted to the Manuscript Link service - https://www.manuscriptlink.com/journals/jips.
It is important that authors should select "JIPS Survey / Special Issue" and "AI-Enabled and Human-Centric Computing for Online Social Networks Security, Privacy and Trust" when they reach the "Basic Information" step in the submission process.
Before submitting papers, you need to read the JIPS submission guideline.
GUEST EDITORS
Zhiyong Zhang, Ph.D., SMIEEE,
Department of Computer Science
Henan University of Science and Technology, China
zhangzy@haust.edu.cn
Dr. Celestine Iwendi, Ph.D., SMIEEE,
Fellow Higher Education Academy
Board Member IEEE Sweden Section, Sweden
celestine.iwendi@ieee.org
Important Dates
- - Manuscript submission due: May. 30, 2020-> June. 29, 2020
- - Author notification: August. 30, 2020 (tentative) -> September. 29, 2020 (tentative)
- - Expected publication: 4th quarter, 2020 (tentative)
Indexing
All publications of JIPS are indexed in ESCI (a new Web of Science index of Thomson Reuters), SCOPUS, DOI, DBLP, EI COMPENDEX, EBSCO, Google Scholar, and Crossref.
JIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
