This repository contains the source code files for the implementation of our proposed secure in-network computing system. The system is based on a simple reduced instruction set architecture and it exploits capabilities of upcoming generations of packet processing pipelines in programmable network switches. This instruction set enables processing of data at multiple terabits-per-second.
Instructions for regular expressions, basic arithmetic and logical operations have been implemented as proof of concept. A packet containing both instruction and data blocks are presented as an input to the pipeline by bundling both the function and its arguments into the packet.
BMv2/ implementation for BMv2 simple_switch target
NetFPGA/TBL-PSasCP/ implementation for NetFPGA SUME platform using match-action tables
NetFPGA/IF-PSasCP/ implementation for NetFPGA SUME platform using if-else condition blocks
This work is published in IEEE Internet of Things Journal. When referencing this work, please use the following citation:
Ganesh C. Sankaran, Krishna M. Sivalingam, Harsh Gondaliya, "P4 and NetFPGA based secure in-network computing architecture for AI-enabled Industrial Internet of Things"
This work was supported by a Mid-Career Institute Research and Development Award (IRDA) from IIT Madras (2017–2020) and DST-FIST grant (SR/FST/ETI-423/2016) from Government of India (2017–2022).