@inproceedings{c713e8552788472ba1d34ce85ff10435,
title = "Cache-Attacks on the ARM TrustZone Implementations of AES-256 and AES-256-GCM via GPU-Based Analysis",
abstract = "The ARM TrustZone is a security extension which is used in recent Samsung flagship smartphones to create a Trusted Execution Environment (TEE) called a Secure World, which runs secure processes (Trustlets). The Samsung TEE includes cryptographic key storage and functions inside the Keymaster trustlet. The secret key used by the Keymaster trustlet is derived by a hardware device and is inaccessible to the Android OS. However, the ARM32 AES implementation used by the Keymaster is vulnerable to side channel cache-attacks. The Keymaster trustlet uses AES-256 in GCM mode, which makes mounting a cache attack against this target much harder. In this paper we show that it is possible to perform a successful cache attack against this AES implementation, in AES-256/GCM mode, using widely available hardware. Using a laptop{\textquoteright}s GPU to parallelize the analysis, we are able to extract a raw AES-256 key with 7{\^A} min of measurements and under a minute of analysis time and an AES-256/GCM key with 40{\^A} min of measurements and 30{\^A} min of analysis.",
author = "Ben Lapid and Avishai Wool",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 25th International Conference on Selected Areas in Cryptography, SAC 2018 ; Conference date: 15-08-2018 Through 17-08-2018",
year = "2019",
doi = "10.1007/978-3-030-10970-7\_11",
language = "الإنجليزيّة",
isbn = "9783030109691",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "235--256",
editor = "Carlos Cid and Jacobson, \{Michael J.\}",
booktitle = "Selected Areas in Cryptography – SAC 2018 - 25th International Conference, Revised Selected Papers",
address = "ألمانيا",
}