首页> 外文会议>International workshop on fast software encryption >Improved Linear Hull Attack on Round-Reduced SIMON with Dynamic Key-Guessing Techniques
【24h】

Improved Linear Hull Attack on Round-Reduced SIMON with Dynamic Key-Guessing Techniques

机译:使用动态键引导技术改进对回合减少的SIMON的线性船体攻击

获取原文

摘要

Simon is a lightweight block cipher family proposed by NSA in 2013. It has drawn many cryptanalysts' attention and varieties of cryptanalysis results have been published, including differential, linear, impossible differential, integral cryptanalysis and so on. In this paper, we give the improved linear attacks on all reduced versions of Simon with dynamic key-guessing technique, which was proposed to improve the differential attack on Simon recently. By establishing the boolean function of parity bit in the linear hull distinguisher and reducing the function according to the property of AND operation, we can guess different sub-keys (or equivalent subkeys) for different situations, which decrease the number of key bits involved in the attack and decrease the time complexity in a further step. As a result, 23-round Simon32/64, 24-round Simon48/72, 25-round Simon48/96, 30-round Simon64/96, 31-round Simon64/128, 37-round Simon96/96, 38-round Simon96/144, 49-round Simon128/128, 51-round Simon128/192 and 53-round Simon128/256 can be attacked. As far as we know, our attacks on most reduced versions of SlMON are the best compared with the previous cryptanalysis results. However, this does not shake the security of SlMON family with full rounds.
机译:Simon是NSA在2013年提出的轻量级分组密码家族。它引起了许多密码分析家的关注,并发表了各种密码分析结果,包括差分,线性,不可能差分,积分密码分析等。在本文中,我们使用动态按键猜测技术对所有简化版的Simon进行了改进的线性攻击,这是最近为改进对Simon的差分攻击而提出的。通过在线性船体识别器中建立奇偶校验位的布尔函数,并根据AND运算的性质来简化该函数,我们可以猜测出不同情况下的不同子键(或等效子键),从而减少了所涉及的键位数进一步降低攻击时间并降低时间复杂度。结果是23轮Simon32 / 64、24轮Simon48 / 72、25轮Simon48 / 96、30轮Simon64 / 96、31轮Simon64 / 128、37轮Simon96 / 96、38轮Simon96 / 144、49轮Simon128 / 128、51轮Simon128 / 192和53轮Simon128 / 256均可受到攻击。据我们所知,与以前的密码分析结果相比,我们对大多数简化版本的SlMON的攻击是最好的。但是,这并不会动摇SlMON系列产品的安全性。

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