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The exploitation of user search queries by search engines is at the heart oftheir economic model. As consequence, offering private Web searchfunctionalities is essential to the users who care about their privacy.Nowadays, there exists no satisfactory approach to enable users to accesssearch engines in a privacy-preserving way. Existing solutions are either toocostly due to the heavy use of cryptographic mechanisms (e.g., privateinformation retrieval protocols), subject to attacks (e.g., Tor, TrackMeNot,GooPIR) or rely on weak adversarial models (e.g., PEAS). This paper introducesX-Search , a novel private Web search mechanism building on the disruptiveSoftware Guard Extensions (SGX) proposed by Intel. We compare X-Search to itsclosest competitors, Tor and PEAS, using a dataset of real web search queries.Our evaluation shows that: (1) X-Search offers stronger privacy guarantees thanits competitors as it operates under a stronger adversarial model; (2) itbetter resists state-of-the-art re-identification attacks; and (3) from theperformance perspective, X-Search outperforms its competitors both in terms oflatency and throughput by orders of magnitude.

X-Search: Revisiting Private Web Search using Intel SGX