xgr19/Soter
Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches (SRDS22 & TDSC24)
Detects network attacks in real time by first filtering out normal traffic directly on network switches and then using a lightweight deep learning model to thoroughly inspect suspicious packets on a server. This dramatically speeds up attack detection in high-speed networks, providing immediate alerts about potential threats. It's designed for network operations engineers and security analysts managing critical network infrastructure.
No commits in the last 6 months.
Use this if you need to detect network attacks with high accuracy and in real-time within high-speed network environments, without overwhelming your existing network hardware.
Not ideal if you are looking for a standalone software-only solution for attack detection that doesn't integrate with programmable network switches.
Stars
10
Forks
3
Language
C++
License
—
Category
Last pushed
May 16, 2024
Commits (30d)
0
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