Reconstruction of Worm Propagation Path Using a Trace-back Approach
Sara Asgari, Babak Sadeghiyan

TL;DR
This paper enhances a distributed trace-back algorithm to not only identify worm origins but also accurately reconstruct their propagation paths, achieving high precision and recall in digital forensics.
Contribution
The paper introduces modifications to the Origins algorithm to enable propagation path reconstruction, extending its capabilities beyond origin identification.
Findings
High recall and precision (~0.96) in path reconstruction
Accurate identification of worm origins in all experiments
Effective extension of existing trace-back methods
Abstract
Worm origin identification and propagation path reconstruction are essential problems in digital forensics. However, a small number of studies have specifically investigated these problems so far. In this paper, we extend a distributed trace-back algorithm, called Origins, which is only able to identify the origins of fast-spreading worms. We make some modifications to this algorithm so that in addition to identifying the worm origins, it can also reconstruct the propagation path. We also evaluate our extended algorithm. The results show that our algorithm can reconstruct the propagation path of worms with high recall and precision, on average around 0.96. Also, the algorithm identifies the origins correctly in all of our experiments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
