An Efficient Collision Power Attack on AES Encryption in Edge Computing

An Efficient Collision Power Attack on AES Encryption in Edge Computing
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边缘计算中 AES 加密的高效碰撞强力攻击

DOI:
10.1109/access.2019.2896256
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发表时间:
2019-01
期刊:
影响因子:
3.9
通讯作者:
Chen Caisen
Chen Caisen
中科院分区:
计算机科学3区
文献类型:
--
作者:
Niu Yongchuan;Zhang Jiawei;Wang An;Chen Caisen

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边缘计算已经成为上下文感知和延迟敏感的物联网数据分析的一个有前途的范例。为了保证安全性,采用了AES、RSA等加密算法进行加密通信和身份验证。碰撞幂攻击是一种典型的恢复AES算法密钥的物理攻击。然而,几乎所有的碰撞攻击都旨在检测由s盒输出引起的内部碰撞,而线性层并不关心这些受保护的实现。掩模和被掩模数据之间的关系很少受到关注,并保持原样,泄漏仍然存在。在本文中,我们重点研究了边缘计算中三种典型的AES实现,并提出了一种利用线性层泄漏的新型碰撞攻击,该攻击能够破坏均匀分布的随机掩码掩蔽方案。此外,提出了一种通用高效的可扩展碰撞攻击方法,并将其应用于掩模线性层和掩模s盒。在可接受的离线搜索情况下,它可以达到与二阶功率分析相同的性能水平,显著改善了已知的碰撞攻击。
Edge computing has become a promising paradigm for the context-aware and delay-sensitive IoT data analytics. For the sake of security, some cryptographic algorithms such as AES, RSA, and so on, are employed for the encryption communication and authentication. The collision power attack is a typical physical attack to recover the secret key of the AES algorithm. However, almost all collision attacks aim at the detection of internal collisions caused by the output of S-boxes, and the linear layers are not concerned with those protected implementations. The relation between the mask and the masked data has been given little attention and stays as is, where the leakages still exist. In this paper, we focus on three typical AES implementations in edge computing, and propose a new type of collision attack by making use of leakages from linear layers, which is capable of breaking masking schemes with uniformly distributed random masks. In addition, a novel scalable collision attack of general applicability and high-efficiency is proposed and applied to masked linear layers and masked S-boxes. It can reach an equal level of performance compared to the second-order power analysis with acceptable off-line search, which improves the known collision attacks significantly.
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