Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool and Improvements
Vinod S. Khandkar, Manjesh K. Hanawal

TL;DR
This paper examines the challenges in detecting net neutrality violations, critiques the Wehe tool's limitations, and proposes an improved method using SNI parameter adjustments for more accurate HTTPS traffic classification.
Contribution
It identifies weaknesses in Wehe's detection mechanism and introduces a novel approach using TLS SNI modification to enhance violation detection accuracy.
Findings
Wehe's replay traffic is often misclassified by middleboxes.
Adjusting the SNI parameter improves traffic classification accuracy.
The proposed method offers a more realistic detection of neutrality violations.
Abstract
We consider the problem of detecting deliberate traffic discrimination on the Internet. Given the complex nature of the Internet, detection of deliberate discrimination is not easy to detect, and tools developed so far suffer from various limitations. We study challenges in detecting the violations (focusing on the HTTPS traffic) and discuss possible mitigation approaches. We focus on `Wehe,' the most recent tool developed to detect net-neutrality violations. Wehe hosts traffic from all services of interest in a common server and replays them to mimic the behavior of the traffic from original servers. Despite Wehe's vast utility and possible influences over policy decisions, its mechanisms are not yet validated by others. In this work, we highlight critical weaknesses in Wehe where its replay traffic is not being correctly classified as intended services by the network middleboxes. We…
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Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · IPv6, Mobility, Handover, Networks, Security · Network Security and Intrusion Detection
