Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/36075
Title: PARADISE: Criticality-Aware Instruction Reordering for Power Attack Resistance
Authors: Chen, Yun 
Hajiabadi, Ali 
Poussier, Romain 
Tavva, Yaswanth 
Diavastos, Andreas 
Bhasin, Shivam 
Carlson, Trevor E. 
Major Field of Science: Engineering and Technology
Field Category: ENGINEERING AND TECHNOLOGY
Issue Date: 20-Mar-2025
Source: ACM Transactions on Architecture and Code Optimization, 2025 art.nu. 14
Volume: 22
Issue: 1
Start page: 1
End page: 25
Journal: ACM Transactions on Architecture and Code Optimization 
Abstract: Power side-channel attacks exploit the correlation of power consumption with the instructions and data being processed to extract secrets from a device (e.g., cryptographic keys). Prior work primarily focused on protecting small embedded micro-controllers and in-order processors rather than high-performance, out-of-order desktop and server CPUs. In this article, we present Paradise, a general-purpose out-of-order processor with always-on protection, that implements a novel dynamic instruction scheduler to provide obfuscated execution and mitigate power analysis attacks. To achieve this, we exploit the time between operand availability of critical instructions (slack) and create high-performance random schedules.Further, we highlight the dangers of using incorrect adversarial assumptions, which can often lead to a false sense of security. Therefore, we perform an extended security analysis on AES-128 using different levels of adversaries, from basic to advanced, including a convolution neural networks-based attack. Our advanced security evaluation assumes a strong adversary with full knowledge of the countermeasure and demonstrates a significant security improvement of 556 × when combined with Boolean Masking over a baseline only protected by masking and 62,500× over an unprotected baseline. The resulting overhead in performance, power, and area of Paradise is 3.2%, 1.2%, and 0.8% respectively.<sup>1</sup>
URI: https://hdl.handle.net/20.500.14279/36075
ISSN: 15443566
DOI: 10.1145/3701991
Type: Article
Affiliation : National University of Singapore 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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