• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2016 IEEE Asian Hardware-Oriented Security and Trust >Error detection reliable architectures of Camellia block cipher applicable to different variants of its substitution boxes
【24h】

Error detection reliable architectures of Camellia block cipher applicable to different variants of its substitution boxes

机译：茶花块密码的错误检测可靠体系结构，适用于其替换盒的不同变体

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Different security properties are provided by cryptographic architectures to protect sensitive usage models such as implantable and wearable medical devices and nano-sensor nodes. Nevertheless, the way such algorithms are implemented could undermine the needed security and reliability aims. Unless the reliability of architectures is guaranteed, natural or malicious faults can undermine such objectives. Noting this, in this paper, we present error detection approaches for the Camellia block cipher taking into account its linear and non-linear sub-blocks. We also tailor the presented error detection architectures towards the desirability of using different variants of the S-boxes based on the security and reliability objectives. The merit of the proposed approaches is that (a) they can be tailored and applied to look-up table-based and composite field-based S-boxes, (b) their reliability vs. overhead can be fine-tuned based on the usage models, and (c) they result in high error coverage and acceptable overheads for performance and implementation metrics. We present the results of error simulations and application-specific integrated circuit (ASIC) implementations to benchmark the efficiency of the presented schemes.
机译：密码体系结构提供了不同的安全属性，以保护敏感的使用模型，例如可植入和可穿戴的医疗设备以及纳米传感器节点。然而，实现此类算法的方式可能会破坏所需的安全性和可靠性目标。除非确保体系结构的可靠性，否则自然或恶意故障都会破坏这些目标。注意到这一点，在本文中，我们提出了一种针对茶花块密码的错误检测方法，其中考虑了其线性和非线性子块。我们还根据安全性和可靠性目标，针对使用S-box的不同变体的需求，对提出的错误检测体系结构进行了调整。提出的方法的优点在于：（a）可以对其进行定制并应用于基于查找表和基于复合字段的S-box；（b）可以根据使用情况对它们的可靠性与开销进行微调。 （c）它们会导致较高的错误覆盖率以及可接受的性能和实施指标开销。我们介绍了错误仿真和专用集成电路（ASIC）实现的结果，以对所提出方案的效率进行基准测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号