# Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach

arXiv: https://arxiv.org/abs/2309.00700 · HTML: https://mlsanity.com/paper/2309.00700/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Sep 2023.

## Built on by (most cited first, 1 of 1)

- [CSTS: A Canonical Security Telemetry Substrate for AI-Native Cyber Detection](https://mlsanity.com/paper/2603.23459/) (2026)

## Abstract (arXiv)

We present a novel approach to identify ransomware campaigns derived from attack timelines representations within victim networks. Malicious activity profiles developed from multiple alert sources support the construction of alert graphs. This approach enables an effective and scalable representation of the attack timelines where individual nodes represent malicious activity detections with connections describing the potential attack paths. This work demonstrates adaptability to different attack patterns through implementing a novel method for parsing and classifying alert graphs while maintaining efficacy despite potentially low-dimension node features.