Pre-collected power consumption traces for the experiments in "Reading It like an Open Book: Single-trace Blind Side-channel Attacks on Garbled Circuit Frameworks"
收藏DataCite Commons2024-10-23 更新2024-11-06 收录
下载链接:
https://figshare.com/articles/dataset/Pre-collected_power_consumption_traces_for_the_experiments_in_Reading_It_like_an_Open_Book_Single-trace_Blind_Side-channel_Attacks_on_Garbled_Circuit_Frameworks_/27284547
下载链接
链接失效反馈官方服务:
资源简介:
Garbled circuits (GC) enable secure multiparty computation, but implementations can be vulnerable to side-channel attacks. We analyze popular GC frameworks and identify a vulnerability where AES encryption used in garbling is secret-dependent, exposing private inputs through side-channel analysis. We propose a single-trace attack to recover private inputs without access to plaintexts or ciphertexts, targeting both input and internal non-XOR gates.We evaluate our attack across different scenarios: software AES on a 32-bit ARM processor (100% success), hardware AES on an Artix-7 FPGA (79.58% success), and a cross-platform attack on processors with different microarchitectures (100% success). Our findings highlight the need to extend the non-colluding assumption in secure computation to include physical-layer protections.Our code for the experiments is open-sourced in:https://github.com/NomadShen/chipwhispererhttps://github.com/NomadShen/fpga_based_attack
提供机构:
figshare
创建时间:
2024-10-23



