Aug 9, 2023 · Kairos reconstructs attack footprints, generating compact summary graphs that accurately describe malicious activity over a stream of system audit logs.
KAIROS reconstructs attack footprints, generating compact summary graphs that accurately describe malicious activity over a stream of system audit logs.
KAIROS leverages a novel graph neural network based encoder-decoder architecture that learns the temporal evolution of a provenance graph's structural changes ...
This repository contains the implementation of the approach proposed in the paper "KAIROS: Practical Intrusion Detection and Investigation using Whole-system ...
Kairos is an anomaly-based intrusion detection and attack investigation system. It leverages state-of-the-art deep graph learning and community discovery ...
KAIROS is presented, the first PIDS that simultaneously satisfies the desiderata in all four dimensions, whereas existing approaches sacrifice at least one�...
Sep 8, 2024 · Kairos leverages a novel graph neural network-based encoder-decoder architecture that learns the temporal evolution of a provenance graph's structural changes.
This document is a companion contain materials supplementary to our paper published in the 43rd IEEE Symposium on Security and Privacy S&P 2024.
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Intrusion Detection. [NEW!] KAIROS: Practical Intrusion Detection and Investigation using Whole-system Provenance · Provenance graphs are structured audit logs ...
Latest. KAIROS: Practical Intrusion Detection and Investigation using Whole-system Provenance. © 2023–2024 UBC SPG. This work is licensed under CC BY NC ND ...