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Elsevier HCC Journal 2020 : High-Confidence Computing Journal
Elsevier HCC Journal 2020 : High-Confidence Computing Journal

Elsevier HCC Journal 2020 : High-Confidence Computing Journal

Submission Deadline: August 01, 2020
Notification of Acceptance: October 01, 2020
Camera Ready Version Due: November 01, 2020




About

The Elsevier HCC Journal is dedicated to publishing rigorously peer-reviewed, high-quality original articles covering fundamental research outcomes that fusion the three domains of secure computing, precise computing, and intelligent computing, as well as complex system designs that jointly consider the properties of secure and trusted hardware/software, precise and process-traceable algorithms, and self-evolving systems that can adapt to new environments and support new applications. The journal intends to provide a unique interdisciplinary platform for researchers and practitioners who are interested in the basic research of high- confidence computing and the complex system developments considering high-confidence properties to demonstrate their novel and creative designs. Other than the original research papers on all aspects of high- confidence computing from theory and applications, the journal also publishes review articles with inspiring open research discussions that can motivate new ideas of realizing high-confidence computing.


Call for Papers

Relevant topics include, but are not limited to:

• Expandable and accountable computing architectures
• SDN-enabled and Blockchain-enhanced computing architectures
• NFV for dynamic function expansion and adaptation
• Access control to secure open computing environments
• TEE-enabled trusted data collection and hardware control
• Cryptographic high-confidence primitives and applications
• High-confidence system security and privacy
• Active defense technologies
• Malicious, damaged and white-noise data cleaning and extraction
• Spatial-temporal big data fusion for intelligent decision making
• Migration learning and digital-twin technologies
• Cascading failure detection and recovery
• Cascading vulnerability detection and positioning
• Modelling, analysis, and measurement of high-confidence
• Testbed and empirical studies



Credits and Sources

[1] Elsevier HCC Journal 2020 : High-Confidence Computing Journal


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