With the development of wireless technology, the ubiquitous sensor networks have a profound effect on the way human interacts with computers, devices and environment. In order to reduce the potentially serious risks in the interaction, applying lightweight ciphers is effective to balance security, efficiency and convenience. Simeck is such a lightweight cipher that provides data confidentiality, authentication and integrity. It is significant to explore whether Simeck remains robust security. Up to now, the attacking assumptions of the previous security analysis of Simeck focus on the known-plaintext attack and the chosen-plaintext attack. There is no literature about Simeck against the ciphertext-only attack, which represents the weakest attacking capability of the attackers. On the assumption of the ciphertext-only attack, this paper proposes the security analysis of Simeck against the statistical fault analysis with a series of novel distinguishers of KDE, MME and MME-GF. The experimental results show that the proposed distinguishers can recover the secret key of Simeck in both decreasing faults and increasing reliability and accuracy. Thus, Simeck cannot resist against the statistical fault analysis with the proposed distinguishers. Furthermore, the good performance of these novel distinguishers can be applied on the PRESENT lightweight cipher. It offers the valuable reference for the design and analysis of the lightweight ciphers in the ubiquitous sensor networks.

中文翻译：

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普适传感器网络中Simeck轻量级密码的统计故障分析


随着无线技术的发展，无处不在的传感器网络对人类与计算机、设备和环境的交互方式产生了深远的影响。为了减少交互中潜在的严重风险，应用轻量级密码可以有效平衡安全性、效率和便利性。 Simeck 是一种轻量级密码，可提供数据机密性、身份验证和完整性。探讨 Simeck 是否保持强大的安全性具有重要意义。到目前为止，Simeck之前的安全分析的攻击假设主要集中在已知明文攻击和选择明文攻击上。目前还没有关于Simeck对抗纯密文攻击的文献，纯密文攻击代表了攻击者最弱的攻击能力。在纯密文攻击的假设下，本文提出了Simeck针对KDE、MME和MME-GF等一系列新颖区分器的统计故障分析的安全性分析。实验结果表明，所提出的鉴别器可以恢复Simeck密钥，减少故障，提高可靠性和准确性。因此，Simeck 无法抗拒使用所提出的区分器进行的统计故障分析。此外，这些新颖区分器的良好性能可以应用于当前的轻量级密码。为普适传感器网络中轻量级密码的设计和分析提供了有价值的参考。