Journal of
Systemics, Cybernetics and Informatics
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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.

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Published by
The International Institute of Informatics and Cybernetics


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Academia.edu
(A Community of about 40.000.000 Academics)


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

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

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


Utilization of Artificial Intelligence by Students in Interdisciplinary Field of Biomedical Engineering
Shigehiro Hashimoto
(pages: 1-5)

Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
Richard S. Segall
(pages: 6-15)

Beyond Status Quo: Why is Transdisciplinary Communication Instrumental in Innovation?
James Lipuma, Cristo Leon
(pages: 16-20)

How We Can Locate Validatable Foundations of Life Themes
Jeremy Horne
(pages: 21-32)

Bringing Discipline into Transdisciplinary Communications -The ISO 56000 Family of Innovation Standards-
Rick Fernandez, William Swart
(pages: 33-39)

To AI Is Human: How AI Tools with Their Imperfections Enhance Learning
Martin Cwiakala
(pages: 40-46)

Knowledge, Learning and Transdisciplinary Communication in the Evolution of the Contemporary World
Rita Micarelli, Giorgio Pizziolo
(pages: 47-52)

Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
Paolo Barile, Clara Bassano, Paolo Piciocchi
(pages: 53-62)

A Cybernetic Metric Approach to Course Preparation
Russell Jay Hendel
(pages: 63-70)

The Impact of Artificial Intelligence on Education
John Jenq
(pages: 71-76)

Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research
Li-jing Arthur Chang
(pages: 77-84)

Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use?
Richard S. Segall
(pages: 85-92)

Identification – The Essence of Education
Jeremy Horne
(pages: 93-99)

The Greek-Roman Theatre in the Mediterranean Area
Maria Rosaria D’acierno Canonici Cammino
(pages: 100-108)

Examination of AI and Conventional Teaching Approaches in Cultivating Critical Thinking Skills in High School Students
Luis Castillo
(pages: 109-112)

Thoughts, Labyrinths, and Torii
Maurício Vieira Kritz
(pages: 113-119)

Can Two Human Intelligences (HIs or Noes) and Two Artificial Intelligences (AIs) Get Involved in Interlinguistic Communication? – A Transdisciplinary Quest
Ekaterini Nikolarea
(pages: 120-128)


 

Abstracts

 


ABSTRACT


DevSecOps Pipeline for Complex Software-Intensive Systems: Addressing Cybersecurity Challenges

Carol Woody, Timothy A. Chick, Aaron Reffett, Scott Pavetti, Richard Laughlin, Brent Frye, Michael Bandor


A major challenge for cybersecurity comes from new technology approaches that focus primarily on the benefits of implementation rather than on defining the governance and risk management changes necessary to establish and enforce appropriate protections. This challenge is especially important for the adoption of technology that impacts critical infrastructure and shared services, such as voting and defense. Researchers examined the challenges and the effective cybersecurity options facing Department of Defense (DoD) programs delivering cyber-physical systems and adopting DevSecOps. These researchers found a lack of broad understanding about the level of management and governance responsibility needed to define and use the DevSecOps pipeline. Adopting DevSecOps is a socio-technical decision that links technology with operational process and practice. Researchers identified several areas that require cross-functional and organizational management attention to fit the pipeline for mission use and considerations to address for producing the system. This paper describes the case study and lessons learned to date.

When a program adopts DevSecOps, it creates and supports two major systems concurrently: (1) the product the program was assigned to produce, and (2) the pipeline the program uses to develop and operationalize the product. Both systems need effective built-in security. In addition, neither the product nor the pipeline can remain static, so the cybersecurity of each must change to ensure sufficiency. The product expands with added functionality, which includes added vulnerabilities that tools and developers must address. The pipeline should be continually refined and improved as new tools and techniques better enable the consistent throughput of new features and capabilities. The focus on functionality and throughput is not sufficient for either system because the threat landscape changes constantly with new attacker capabilities. As a result, the need for improved tools to avoid and remove vulnerabilities from the product become critical. These tools must also be patched since they are software and contain vulnerabilities. As more data about the product is collected through the pipeline, it is critical to tap this information to improve the product and pipeline. However, the pipeline is not a single entity. It is a collection of highly configurable pieces built independently and assembled to perform together.

The increased use of the DevSecOps pipeline to automate software assurance, cybersecurity, and safety compliance transfers the responsibilities for identifying and addressing pipeline and product risks to roles that were not involved in the past. For example, acquirers and maintainers of pipeline tools may now be responsible for the level of verification performed on the product and its associated effectiveness. If the criteria for tool selection remains focused only on cost, availability, and compliance, the expectations for this new responsibility could fall short of stakeholder expectations, especially if structuring the pipeline does not include stakeholder requirements. There is a lack of broad understanding about the level of management and governance responsibility needed to define and assure the responsible use of a DevSecOps pipeline. Our work is focused on bringing these under-addressed areas to light.

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