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Digital signatures are a fundamental building block for ensuring integrity and authenticity of contents delivered by the Named Data Networking (NDN) systems. However, current digital signature schemes adopted by NDN open source libraries have a high computational and communication overhead making them unsuitable for high throughput applications like video streaming and virtual reality gaming. In this poster, we propose a real-time digital signature mechanism for NDN based on the offline-online signature framework known as Structure-free and Compact Real-time Authentication scheme (SCRA). Our signature mechanism significantly reduces the signing and verification costs and provides different variants to optimize for the specific requirements of applications (i.e. signing overhead, verification overhead or communication cost). Our experiments results show that SCRA is a suitable framework for latency-sensitive NDN applications.
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An Information Centric Framework for Weather Sensing Data
Weather sensing and forecasting has become increasingly accurate in the last decade thanks to high-resolution radars, efficient computational algorithms, and high-performance computing facilities. Through a distributed and federated network of radars, scientists can make high-resolution observations of the weather conditions on a scale that benefits public safety, commerce, transportation, and other fields. While weather radars are critical infrastructure, they are often located in remote areas with poor network connectivity. Data retrieved from these radars are often delayed or lost, or even lack proper synchronization, resulting in sub-optimal weather prediction. This work applies Named Data Networking (NDN) to a federation of weather sensing radars for efficient content addressing and retrieval. We identify weather data based on a hierarchical naming scheme that allows us to explicitly access desired files. We demonstrate that compared to the window-based mechanism in TCP/IP, an NDN based mechanism improves data quality, reduces uncertainty, and enhances weather prediction.
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- Award ID(s):
- 2018074
- PAR ID:
- 10357432
- Date Published:
- Journal Name:
- 2022 IEEE International Conference on Communications Workshops (ICC Workshops)
- Page Range / eLocation ID:
- 1 to 6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/ICCWorkshops53468.2022.9882164
