loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Abdeslam El-Yahyaoui 1 and Mohammed Erradi 2

Affiliations: 1 CID Development, Rabat, Morocco ; 2 ENSIAS, Mohammed V University of Rabat, Morocco

Keyword(s): User Privacy, Mobile User Location, Timing Side Channel Attack, Random Delays.

Abstract: Delivery status notifications are a standard feature of mobile instant messaging applications. They inform users about the successful delivery of their sent messages. However, this common feature opens up a timing side channel attack compromising user location privacy. This attack exploits variations in Round Trip Times (RTTs) across locations, allowing the training of machine learning models for location inference. Recent work proposed a solution based on randomly delaying the RTTs (RDR) on the messenger server side using uniformly sampled perturbations between 0 and a maximum value. I this work, we have shown that the timing side channel attack still persists with significant accuracy even with the aforementioned randomly delaying RTT countermeasure. We then propose a resilient client side randomization technique involving a distribution with randomly varying parameters across RTTs (RVPR). We have shown that the suggested approach (RVPR) is resilient against this attack and has les s impact on user experience than the existing RDR approach. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 216.73.216.123

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
El-Yahyaoui, A. and Erradi, M. (2025). A Resilient Randomization Technique Against ML-Driven Timing Side Channel Attack on Mobile Location. In Proceedings of the 22nd International Conference on Security and Cryptography - SECRYPT; ISBN 978-989-758-760-3; ISSN 2184-7711, SciTePress, pages 61-71. DOI: 10.5220/0013457900003979

@conference{secrypt25,
author={Abdeslam El{-}Yahyaoui and Mohammed Erradi},
title={A Resilient Randomization Technique Against ML-Driven Timing Side Channel Attack on Mobile Location},
booktitle={Proceedings of the 22nd International Conference on Security and Cryptography - SECRYPT},
year={2025},
pages={61-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013457900003979},
isbn={978-989-758-760-3},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 22nd International Conference on Security and Cryptography - SECRYPT
TI - A Resilient Randomization Technique Against ML-Driven Timing Side Channel Attack on Mobile Location
SN - 978-989-758-760-3
IS - 2184-7711
AU - El-Yahyaoui, A.
AU - Erradi, M.
PY - 2025
SP - 61
EP - 71
DO - 10.5220/0013457900003979
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic