skip to main content
10.1145/3605772.3625393acmconferencesArticle/Chapter ViewAbstractPublication PagesccsConference Proceedingsconference-collections
keynote

Secure, Intelligent, Programmable Space-Air-Ground Integrated Networks

Published:26 November 2023Publication History

ABSTRACT

Space-air-ground integrated networks (SAGIN) or space-air-ground-sea integrated networks (SAGSIN) extend terrestrial network infrastructure to non-terrestrial networks (NTNs) integrating satellite communications, unmanned aerial vehicles (UAVs), high altitude platforms (HAPs), and space systems. These integrated networks can provide connectivity to remote locations, enhance service delivery, and support new ventures. While there is a benefit to the use of machine learning (ML) and artificial intelligence (AI) to manage analysis of massive volumes of space and terrestrial network data and to provide intelligent systems management in space missions and terrestrial network services, the extension of terrestrial networking to integrate space systems merits analysis with respect to AI and security. ML and AI solutions are being explored to advance cooperative and autonomous behaviour, self-organisation, and optimization within the SAGIN. Specifically, there are questions around the impact of interactive systems in space e.g., satellite/UAV cooperation (AI-driven) and security considerations of the dynamic environment. There is also the question of the global nature of space e.g., how to cooperate/collaborate between nations, how to regulate or account for the lack of regulation in space. Furthermore, there is a question of sustainability and the impact of expansion of terrestrial systems into space. In this talk, we will explore the security, intelligence, and programmable aspects of SAGIN with particular consideration of the dynamic interactions throughout the SAGIN, the global nature of space and what this means for SAGIN design and operation.

Index Terms

  1. Secure, Intelligent, Programmable Space-Air-Ground Integrated Networks

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Conferences
              ARTMAN '23: Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks
              November 2023
              48 pages
              ISBN:9798400702655
              DOI:10.1145/3605772

              Copyright © 2023 Owner/Author

              Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 26 November 2023

              Check for updates

              Qualifiers

              • keynote

              Upcoming Conference

              CCS '24
              ACM SIGSAC Conference on Computer and Communications Security
              October 14 - 18, 2024
              Salt Lake City , UT , USA
            • Article Metrics

              • Downloads (Last 12 months)72
              • Downloads (Last 6 weeks)18

              Other Metrics

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader