P3LI5: Practical and Confidential Lawful Interception on the 5G Core
Francesco Intoci, Julian Sturm, Daniel Fraunholz, Apostolos, Pyrgelis, Colin Barschel

TL;DR
P3LI5 introduces a privacy-preserving system for lawful interception in 5G networks, enabling law enforcement to query network identifiers without compromising subscriber privacy, while maintaining scalability and low latency.
Contribution
It presents the first practical system leveraging private information retrieval for confidential lawful interception in 5G core networks.
Findings
Demonstrates scalability to large databases
Retains low latency in queries
Allows configurable privacy-performance trade-offs
Abstract
Lawful Interception (LI) is a legal obligation of Communication Service Providers (CSPs) to provide interception capabilities to Law Enforcement Agencies (LEAs) in order to gain insightful data from network communications for criminal proceedings, e.g., network identifiers for tracking suspects. With the privacy-enhancements of network identifiers in the 5th generation of mobile networks (5G), LEAs need to interact with CSPs for network identifier resolution. This raises new privacy issues, as untrusted CSPs are able to infer sensitive information about ongoing investigations, e.g., the identities of their subscribers under suspicion. In this work, we propose P3LI5, a novel system that enables LEAs to privately query CSPs for network identifier resolution leveraging on an information retrieval protocol, SparseWPIR, that is based on private information retrieval and its weakly private…
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
TopicsInternet Traffic Analysis and Secure E-voting · Privacy-Preserving Technologies in Data · Cryptography and Data Security
