Pseudonymisation of SS7 Identifiers by Random Tables

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper details the pseudonymisation of identifiers contained in SS7 (Signaling System No. 7) mobile signaling traffic in order to protect subscriber privacy. This is necessary to comply with the General Data Protection Regulation (GDPR) rules when processing data holding private information, such as in our project on 2G/3G SS7 attack detection. A method using random tables to substitute sensitive SS7 identifiers is presented. Applied independently to all necessary identifiers, this approach maximizes the protection of subscribers and offers a simple and fast implementation. It must be used at the operator premises on SS7 traffic before transfer to the research institute, where special care is taken to comply with GDPR. In particular, a Data Protection Impact Assessment (DPIA) document was written to describe the context of the research, the required data and intended processing, the measures taken to protect the rights of the subscribers, and an evaluation of the risks and their mitigation. This publication provides the reader with a comprehensive description of all aspects of pseudonymisation in a real case study involving mobile telephony data processing for research purposes.

Original languageEnglish
Title of host publicationAdvances in Information and Communication - Proceedings of the 2025 Future of Information and Communication Conference, FICC 2025
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages369-378
Number of pages10
ISBN (Print)9783031853623
DOIs
Publication statusPublished - 2025
EventFuture of Information and Communication Conference, FICC 2025 - Berlin, Germany
Duration: 28 Apr 202529 Apr 2025

Publication series

NameLecture Notes in Networks and Systems
Volume1284 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceFuture of Information and Communication Conference, FICC 2025
Country/TerritoryGermany
CityBerlin
Period28/04/2529/04/25

Keywords

  • GDPR
  • Pseudonymisation
  • Random tables
  • SS7

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