Journal of
Systemics, Cybernetics and Informatics

ISSN: 1690-4524 (Online)

Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

Indexed by
DOAJ (Directory of Open Access Journals)Benefits of supplying DOAJ with metadata:
  • DOAJ's statistics show more than 900 000 page views and 300 000 unique visitors a month to DOAJ from all over the world.
  • Many aggregators, databases, libraries, publishers and search portals collect our free metadata and include it in their products. Examples are Scopus, Serial Solutions and EBSCO.
  • DOAJ is OAI compliant and once an article is in DOAJ, it is automatically harvestable.
  • DOAJ is OpenURL compliant and once an article is in DOAJ, it is automatically linkable.
  • Over 95% of the DOAJ Publisher community said that DOAJ is important for increasing their journal's visibility.
  • DOAJ is often cited as a source of quality, open access journals in research and scholarly publishing circles.
JSCI Supplies DOAJ with Meta Data
, Academic Journals Database, and Google Scholar

Listed in
Cabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory

Published by
The International Institute of Informatics and Cybernetics

Re-Published in
(A Community of about 40.000.000 Academics)

Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Nagib C. Callaos

Sponsored by
The International Institute of
Informatics and Systemics

Editorial Advisory Board

Quality Assurance


Journal's Reviewers
Call for Special Articles

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes

Transdisciplinary Communication as a Meta-Framework of Digital Education
Rusudan Makhachashvili, Ivan Semenist
(pages: 1-6)

Multidisciplinary Learning Using Online Networking in Biomedical Engineering
Shigehiro Hashimoto
(pages: 7-12)

Augmented Intelligence for Advancing Healthcare
Mohammad Ilyas
(pages: 13-19)

A Transdisciplinary Approach to Refereeal
Russell Jay Hendel
(pages: 20-25)

The Impact of Convictions on Interlocking Systems
Teresa Henkle Langness
(pages: 26-33)

Collaborative Convergence: Finding the Language for Trans-Disciplinary Communication to Occur
Cristo Leon, James Lipuma
(pages: 34-37)

Bridging the Gap Between the World of Education and the World of Business via Standards to Develop Competences of the Future at Universities
Paweł Poszytek
(pages: 38-42)

Multidisciplinary Learning for Multifaceted Thinking in Globalized Society
Shigehiro Hashimoto
(pages: 43-48)

From Spirituality to Technontology in Education
Florent Pasquier
(pages: 49-52)

Differentiated Learning and Digital Game Based Learning: The KIDEDU Project
Eleni Tsami
(pages: 53-57)

Emerging Role of Artificial Intelligence
Mohammad Ilyas
(pages: 58-65)

Practicing Transdisciplinarity and Trans-Domain Approaches in Education: Theory of and Communication in Values and Knowledge Education (VaKE)
Jean-Luc Patry
(pages: 66-71)

Reflexive Practice for Inter and Trans Disciplinary Research in the Third Millennium
Maria Grazia Albanesi
(pages: 72-76)





Current State and Modeling of Research Topics in Cybersecurity and Data Science

Tamir Bechor, Bill Jung

Arguably, the two domains closely related to information technology recently gaining the most attention are ‘cybersecurity’ and ‘data science’. Yet, the intersection of both domains often faces the conundrum of discussions intermingled with ill-understood concepts and terminologies. A topic model is desired to illuminate significant concepts and terminologies, straddling in cybersecurity and data science. Also, the hope exists to knowledge-discover under-researched topics and concepts, yet deserving more attention for the intersection crossing both domains. Motivated by these, then retaining most of the already accepted IMCIC (the International Multi-Conference on Complexity, Informatics, and Cybernetics) 2019 conference paper’s content and supplementing it with implicit design activities while conducting the research, this study attempts to take on a challenge to model cybersecurity and data science topics clustered with significant concepts and terminologies, grounded on a textmining approach based on the recent scholarly articles published between 2012 and 2018. As the means to the end of modeling topic clusters, the research is approached with a text-mining technique, comprised of key-phrases extraction, topic modeling, and visualization. The trained LDA Model in the research analyzed and generated significant terms from the text-corpus from 48 articles and found that six latent topic clusters comprised the key terms. Afterwards, the researchers labeled the six topic clusters for future cybersecurity and data science researchers as follows: Advanced/Unseen Attack Detection, Contextual Cybersecurity, Cybersecurity Applied Domain, Data-Driven Adversary, Power System in Cybersecurity, and Vulnerability Management. The subsequent qualitative evaluation of the articles found the LDA Model supplied the six topic clusters in unveiling latent concepts and terminologies in cybersecurity and data science to enlighten both domains. The main contribution of this research is the identification of key concepts in the topic clusters and text-mining key-phrases from the recent scholarly articles focusing on cybersecurity and data science. By undertaking this research, this study aims to advance the fields of cybersecurity and data science. Besides the main contribution, the additional research contributions are as follows: First, the topic modeling approached using text-mining makes the cybersecurity domain unearth the terminologies that make IST (Information Systems and Technology) researchers investigate further. Secondly, using the result of the study’s analysis, IST researchers can decide terms of interest and further investigate the articles that supplied the terms.

Full Text