首页> 外文期刊>Symmetry >Detecting Sybil Attacks in Cloud Computing Environments Based on Fail‐Stop Signature
【24h】

Detecting Sybil Attacks in Cloud Computing Environments Based on Fail‐Stop Signature

机译:基于故障停止签名的云计算环境中的Sybil攻击检测

获取原文
获取外文期刊封面目录资料

摘要

Due to the loosely coupled property of cloud computing environments, no node has complete knowledge of the system. For this reason, detecting a Sybil attack in cloud computing environments is a non‐trivial task. In such a dynamic system, the use of algorithms based on tree or ring structures for collecting the global state of the system has unfortunate downsides, that is, the structure should be re‐constructed in the presence of node joining and leaving. In this paper, we propose an unstructured Sybil attack detection algorithm in cloud computing environments. Our proposed algorithm uses one‐to‐one communication primitives rather than broadcast primitives and, therefore, the message complexity can be reduced. In our algorithmic design, attacker nodes forging multiple identities are effectively detected by normal nodes with the fail‐stop signature scheme. We show that, regardless of the number of attacker nodes, our Sybil attack detection algorithm is able to reach consensus.
机译:由于云计算环境的松散耦合特性,因此没有节点完全了解系统。因此,在云计算环境中检测Sybil攻击是一项艰巨的任务。在这样的动态系统中,不幸的是,使用基于树或环结构的算法来收集系统的全局状态的缺点是,应该在存在节点加入和离开的情况下重新构造该结构。在本文中,我们提出了一种在云计算环境中的非结构化Sybil攻击检测算法。我们提出的算法使用一对一的通信原语而不是广播原语,因此可以降低消息的复杂性。在我们的算法设计中,使用故障停止签名方案的普通节点可以有效地检测到伪造多个身份的攻击者节点。我们证明,无论攻击者节点的数量如何,我们的Sybil攻击检测算法都能达成共识。

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