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Communication Dans Un Congrès Année : 2018

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

Maria Mushtaq
Muhammad Khurram Bhatti
  • Fonction : Auteur
Naveed Bin Raees Rao
  • Fonction : Auteur
Vianney Lapotre
Guy Gogniat

Résumé

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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Dates et versions

hal-01879950 , version 1 (24-09-2018)

Identifiants

  • HAL Id : hal-01879950 , version 1

Citer

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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