Presentation + Paper
27 April 2020 Hybrid blockchain-enabled secure microservices fabric for decentralized multi-domain avionics systems
Author Affiliations +
Abstract
Advancement in artificial intelligence (AI) and machine learning (ML), dynamic data driven application systems (DDDAS), and hierarchical cloud-fog-edge computing paradigm provide opportunities for enhancing multi-domain systems performance. As one example that represents multi-domain scenario, a “fly-by-feel” system utilizes DDDAS framework to support autonomous operations and improve maneuverability, safety and fuel efficiency. The DDDAS “fly-by-feel" avionics system can enhance multi-domain coordination to support domain specific operations. However, conventional enabling technologies rely on a centralized manner for data aggregation, sharing and security policy enforcement, and it incurs critical issues related to bottleneck of performance, data provenance and consistency. Inspired by the containerized microservices and blockchain technology, this paper introduces BLEM, a hybrid BLockchain-Enabled secure Microservices fabric to support decentralized, secure and efficient data fusion
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronghua Xu, Yu Chen, Erik Blasch, Alexander Aved, Genshe Chen, and Dan Shen "Hybrid blockchain-enabled secure microservices fabric for decentralized multi-domain avionics systems", Proc. SPIE 11422, Sensors and Systems for Space Applications XIII, 114220J (27 April 2020); https://doi.org/10.1117/12.2559036
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Avionic systems

Computer security

Network security

Sensors

Systems modeling

Control systems

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