Run-time Detection of Prime+Probe Side-Channel Attack on AES Encryption Algorithm

Maria Mushtaq 1 Ayaz Akram 2 Muhammad Khurram Bhatti Naveed Bin Raees Rao Vianney Lapotre 3 Guy Gogniat 4
1 Lab-STICC_UBS_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_UBS_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : This paper presents a run-time detection mechanism for access-driven cache-based Side-Channel Attacks (CSCAs) on Intel's x86 architecture. We demonstrate the detection capability and effectiveness of proposed mechanism on Prime+Probe attcks. The mechanism comprises of multiple machine learning models, which use real-time data from the HPCs for detection. Experiments are performed with two different implementations of AES cryptosystem while under Prime+Probe attack. We provide results under stringent design constraints such as: realistic system load conditions, real-time detection accuracy, speed, system-wide performance overhead and distribution of error (i.e., false positives and negatives) for the used machine learning models. Our results show detection accuracy of > 99% for Prime+Probe attack with performance overhead of 3 − 4% at the highest detection speed, i.e., within 1−2% completion of 4800 AES encryption rounds needed to complete a successful attack.
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Submitted on : Monday, September 24, 2018 - 1:40:15 PM
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Maria Mushtaq, Ayaz Akram, Muhammad Khurram Bhatti, Naveed Bin Raees Rao, Vianney Lapotre, et al.. Run-time Detection of Prime+Probe Side-Channel Attack on AES Encryption Algorithm. Global Information Infrastructure and Networking Symposium (GIIS), Oct 2018, Thessaloniki, Greece. ⟨hal-01879950⟩

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