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Modified access polynomial based self-healing key management schemes with broadcast authentication and enhanced collusion resistance in wireless sensor networks

机译:无线传感器网络中基于修改的访问多项式的自愈密钥管理方案,具有广播身份验证和增强的抗共谋性

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Though lots of research results about self-healing key management under unreliable links have been proposed, there are still some shortcomings, such as the inefficiency of broadcasts, lack of broadcast authentication, limited sessions for key issues, disastrous risks of access polynomials, and the vulnerability of collusion attacks. In this paper, we propose two modified access polynomial based self-healing key management schemes with broadcast authentication and enhanced collusion resistance. First, two kinds of attacks are introduced to break the security of access polynomials. Then, a modified security model is given, and collusion resistance capability is redefined from the perspective of session interval from node revocation to node addition, which does not depend on the number of collusive nodes. Next, based on sliding window and modified access polynomial, Sch-I and Sch-II are proposed to achieve the security and tolerate packet losses, which allow pairwise keys between member nodes and group manager to be updated dynamically. Finally, theoretical analysis validates that the proposed schemes have 8 self-healing capability, any-wise forward security and backward security, and enhanced collusion resistance capability, and can also avoid the flaws of access polynomials and reduce the resource consumption. Compared with existing schemes, they are quite suitable for practical applications. (C) 2015 Elsevier B.V. All rights reserved.
机译:尽管已经提出了许多有关在不可靠链接下进行自我修复密钥管理的研究成果,但仍然存在一些缺陷,例如广播效率低下,广播身份验证不足,关键问题的会话时间有限,访问多项式的灾难性风险以及共谋攻击的脆弱性。在本文中,我们提出了两种基于修改的访问多项式的自愈密钥管理方案,它们具有广播认证和增强的抗串扰性。首先,引入了两种攻击来破坏访问多项式的安全性。然后,给出了一种改进的安全模型,并从会话撤销到节点添加的会话间隔的角度重新定义了抗共谋能力,而会话间隔不取决于共谋节点的数量。接下来,基于滑动窗口和修改后的访问多项式,提出了Sch-I和Sch-II以实现安全性和可承受的分组丢失,从而允许动态更新成员节点和组管理器之间的成对密钥。最后,通过理论分析验证了所提方案具有8种自愈能力,任意向前的安全性和向后的安全性以及增强的抗串扰能力,并且还可以避免访问多项式的缺陷,减少资源消耗。与现有方案相比,它们非常适合实际应用。 (C)2015 Elsevier B.V.保留所有权利。

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