Advanced Methods for Multi-Source Information Management, Modeling, and Analysis

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Theory and Methodology".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 449

Special Issue Editors

School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Interests: cyber security; applied cryptography; multimedia security; privacy protection; biometrics; security management; location based service; cloud computing security
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Guest Editor
Blockchain R&D Laboratory, Curtin University, Bentley 6102, Australia
Interests: blockchain; smart grids; cyber security; wireless sensor networks; IoT
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Special Issue Information

Dear Colleagues,

It is no exaggeration to say that our lives are shaped by multi-source information. In every aspect of our work, study, communication and consumption, we constantly create, access and utilize various kinds of data. Data can not only help us understand ourselves, others and the environment, but can also enable us to enhance efficiency, generate value, solve problems and achieve goals. Exploring advanced methods and technologies to guarantee availability and security of multi-source information is directly linked to our life and social progress.

The application of artificial intelligence and computer technology has brought people closer to data exploration. These emerging technologies can leverage data more profoundly in different scenarios, which help to deliver personalized content and services, enhance user satisfaction, improve urban management and service quality, and lower cost and risk. A common challenge that has arisen is that mining and optimizing multi-source heterogeneous data requires reliable and accurate data models as well as detailed and suitable system frameworks so as to monitor, analyze and make decisions in real time. Furthermore, it is worthwhile to actively promote the research of advanced technologies and methods to support the management of data from different sources, levels or dimensions. Additionally, for the acquisition and mining of privacy information such as user behavior and emotions, protecting the value of data information itself and the privacy and security of users is crucial.

The aim of this Special Issue is to explore various methods for multi-source information management, modeling and analysis, as well as foster a wider application of data technology in industrial engineering and various disciplines. Topics of interest include but are not limited to:

  • Architecture, tools and systems for multi-source data analysis;
  • Artificial intelligence in multi-source data mining and analysis;
  • Bio-inspired optimization in engineering and sciences;
  • Computer vision and natural language processing;
  • Information security, reliability, trust and privacy;
  • Multi-source information fusion;
  • Multidimensional data structures and indexing strategies;
  • Smart environments.

Dr. Yuan Tian
Dr. Le Sun
Dr. Vidyasagar Potdar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • data mining and analysis
  • engineering optimization
  • computer science
  • smart environment
  • information security and privacy
  • information fusion
  • artificial intelligence

Published Papers

This special issue is now open for submission.
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