{
  "annotation_id": "fdb79cc9-f19f-48a6-a977-08988df76ea0",
  "date_created": "2026-02-17T05:53:08.857000Z",
  "date_modified": "2026-02-17T05:53:08.857000Z",
  "file_hash": "fe96b5244877640b88c7c5776ed370009cb51b0ff5afb517c96fb8a02c55d44e",
  "private": false,
  "record": {
    "abstract": "Passive measurement has traditionally focused on inbound traffic to detect malicious activity, based on the assumption that threats originate externally. In this paper, we offer a complementary perspective by examining outbound traffic, and argue that a narrow subset -- what we term erroneous outbound traffic -- is a lighter and revealing yet overlooked data source for identifying a broad range of security threats and network problems. This traffic consists of packets sent by internal hosts that either receive no response, trigger ICMP errors, or are ICMP error messages themselves generated in response to unsolicited requests. To demonstrate its potential, we collect and analyse erroneous traffic from a large network, uncovering a variety of previously unnoticed issues, including misconfigurations, obsolete deployments and compromised hosts.",
    "arxiv_id": "2601.06280",
    "authors": [
      "Andrea Sordello",
      "Zhihao Wang",
      "Kai Huang",
      "Alessandro Cornacchia",
      "Marco Mellia"
    ],
    "categories": [
      "cs.NI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "The Potential of Erroneous Outbound Traffic Analysis to Unveil Silent Internal Anomalies",
    "url": "https://arxiv.org/abs/2601.06280",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "2d09c52e-8355-4ccf-814f-ecf9352a70c5",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}