Work

Fingerprinting Deep Packet Inspection Devices by their Ambiguities

Year: 2025

Type: conference-paper

Abstract: Users around the world face escalating network interference such as censorship, throttling, and interception, largely driven by the commoditization and growing availability of Deep Packet Inspection (DPI) devices. Once reserved for a few well-resourced nation-state actors, the ability to interfere with traffic at scale is now within reach of nearly any network operator. Despite this proliferation, our understanding of DPIs and their deployments on the Internet remains limited---being network intermediary leaves DPI unresponsive to conventional host-based scanning tools, and DPI vendors actively obscuring their products further complicates measurement efforts.

Source: ACM SIGSAC Conference on Computer and Communications Security (CCS)

DOI: 10.1145/3719027.3765145

Authors: Diwen Xue, Armin Huremagic, Wayne Wang, Ram Sundara Raman, Roya Ensafi

Institutions: University of Michigan, University of California, Santa Cruz

Language: English

Topic: Internet Traffic Analysis and Secure E-voting

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

Funder: National Science Foundation