X-Search: Revisiting Private Web Search using Intel SGX - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2017

X-Search: Revisiting Private Web Search using Intel SGX

Abstract

The exploitation of user search queries by search engines is at the heart of their economic model. As consequence, offering private Web search functionalities is essential to the users who care about their privacy. Nowadays, there exists no satisfactory approach to enable users to access search engines in a privacy-preserving way. Existing solutions are either too costly due to the heavy use of cryptographic mechanisms (e.g., private information retrieval protocols), subject to attacks (e.g., Tor, TrackMeNot, GooPIR) or rely on weak adversarial models (e.g., PEAS). This paper introduces X-Search, a novel private Web search mechanism building on the disruptive Software Guard Extensions (SGX) proposed by Intel. We compare X-Search to its closest competitors, Tor and PEAS, using a dataset of real web search queries. Our evaluation shows that: (1) X-Search offers stronger privacy guarantees than its competitors as it operates under a stronger adversarial model; (2) it better resists state-of-the-art re-identification attacks; and (3) from the performance perspective, X-Search outperforms its competitors both in terms of latency and throughput by orders of magnitude.
Fichier principal
Vignette du fichier
paper-hal.pdf (638.84 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01588883 , version 1 (18-09-2017)

Identifiers

Cite

Sonia Ben Mokhtar, Antoine Boutet, Pascal Felber, Marcelo Pasin, Rafael Pires, et al.. X-Search: Revisiting Private Web Search using Intel SGX. Middleware, Dec 2017, Las Vegas, United States. pp.12, ⟨10.1145/3135974.3135987⟩. ⟨hal-01588883⟩
815 View
964 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More