RECO-DryGASCON: Re-configurable Lightweight DryGASCON Engine

Robert Herndon, Rafed El-Issa, Daniel Heer, Jinjun Xiong, Wen Mei Hwu, Mohamed El-Hadedy

Research output: Chapter in Book/Report/Conference proceedingConference contribution


IoT or Internet of Things is a modern term describing the ever growing system of widely interrelated devices which communicate automatically. Almost all devices we consider to be mobile work through an IoT network and participate in this sharing of information. As of late, there has been a rising need to secure communications across smaller, more embedded devices that are increasing in number within IoT networks. These embedded devices may include sensors sending sampled data to a processing unit, or processors themselves that are the brain of a specific embedded device. Securing these systems can be done through cryptography, but standard cryptography is not fully compatible with these small devices. The new constraints presented by securing communications on these devices include minimizing power consumption and resource utilization, while allowing for a viable throughput [Gubbi, Jayavardhana, et al., 2013]. In this paper, a lightweight cryptography algorithm, which attempts to optimize the previously mentioned constraints, is implemented in a system. This implementation was designed using a mix of HDLs (Hardware Description Languages) and designed to be dynamic to be able to accommodate systems with a variety of security requirements. The implementation is applied to a system of sonars that send each other encrypted distance data relative to each other, and use the decrypted data to detect whether they need to adjust their positioning. The aim of using this test system is to emulate use cases in industries where devices must process relative positioning data and communicate securely, while relying on a limited power supply. Examples of these systems include UAVs, drones used for surveillance and recon, etc.

Original languageEnglish (US)
Title of host publicationProceedings of the Future Technologies Conference, FTC 2020, Volume 3
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
Number of pages19
ISBN (Print)9783030630911
StatePublished - 2021
EventFuture Technologies Conference, FTC 2020 - San Francisco, United States
Duration: Nov 5 2020Nov 6 2020

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceFuture Technologies Conference, FTC 2020
Country/TerritoryUnited States
CitySan Francisco


  • ASIC
  • AXI
  • Ciphers
  • Cryptography
  • Data security
  • Encryption
  • FPGA
  • IoT
  • Small devices

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science


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