The Potential of Erroneous Outbound Traffic Analysis to Unveil Silent Internal Anomalies
Andrea Sordello, Zhihao Wang, Kai Huang, Alessandro Cornacchia, Marco Mellia

TL;DR
This paper explores how analyzing erroneous outbound traffic, which includes unresponsive packets and ICMP errors, can reveal internal network anomalies and security threats often missed by traditional inbound-focused methods.
Contribution
It introduces erroneous outbound traffic as a novel data source for detecting internal network issues and demonstrates its effectiveness through large-scale analysis.
Findings
Uncovered misconfigurations and obsolete deployments
Identified compromised hosts and security threats
Showed the overlooked value of erroneous outbound traffic
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.
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.
Taxonomy
TopicsNetwork Security and Intrusion Detection · Internet Traffic Analysis and Secure E-voting · IPv6, Mobility, Handover, Networks, Security
