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Channel Detecting Jamming Attacks on Rendezvous Algorithms for Cognitive Radio Networks.

机译:认知无线电网络中交会算法的信道检测干扰攻击。

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摘要

Traditional spread spectrum techniques such as Frequency Hopping Spread Spectrum (FHSS) and Direct Sequence Spread Spectrum (DSSS) have been used for anti-jamming solutions in wireless broadcast communication. However, these systems generally have the fundamental limitation of a prior key sharing between a sender and receiver. If a jammer is a compromised receiver, then it uses the secret key to jam the entire wireless communication. To address this problem, new enhancements allow a sender and receiver to independently generate random channel hopping (CH) or frequency hopping (FH) sequences so that it is unfeasible for a jammer to compute the same sequences. These schemes can provide fast rendezvous or key exchange methods for Cognitive Radio Networks (CRNs) called blind rendezvous algorithms in which a sender and receiver have no prior knowledge of a shared key, time synchronization information, or common control channels (CCCs).;However, we present new channel detecting jamming attacks (CDJAs) against these enhancements for CRNs. For most rendezvous algorithms, our channel detecting jammer can compute the same sequences as the sender's by utilizing the properties of blind rendezvous schemes. We investigated the state-of-the-art blind rendezvous algorithms for CRNs to demonstrate the effectiveness of our CDJAs. Through simulations, we show that CDJAs can significantly reduce their rendezvous probability for both the symmetric and asymmetric rendezvous systems. Thus, our CDJAs are a major security problem for most blind rendezvous algorithms since any secondary user or even group of users in CRNs can easily be denied access to the network with high probability. To mitigate this problem, we revisit the Random rendezvous scheme to increase the rendezvous probability against CDJAs. Overall, the Random scheme vastly outperforms these representative blind rendezvous algorithms for both the symmetric and asymmetric models when there are security concerns about a channel detecting jammer. A new partially random algorithm is shown to outperform all others for the asymmetric system.
机译:传统的扩频技术,例如跳频扩频(FHSS)和直接序列扩频(DSSS),已被用于无线广播通信中的抗干扰解决方案。然而,这些系统通常具有发送者和接收者之间的先前密钥共享的基本限制。如果干扰器是受损的接收器,则它将使用密钥来干扰整个无线通信。为了解决此问题,新的增强功能允许发送方和接收方独立生成随机信道跳变(CH)或跳频(FH)序列,从而使干扰器无法计算相同的序列。这些方案可以为称为盲会合算法的认知无线电网络(CRN)提供快速会合或密钥交换方法,其中发送方和接收方都不具有共享密钥,时间同步信息或公共控制信道(CCC)的先验知识。 ,我们针对这些增强型CRN提出了新的信道检测干扰攻击(CDJA)。对于大多数集合点算法,我们的信道检测干扰器可以利用盲点集合方案的属性来计算与发送者相同的序列。我们研究了CRN的最新盲集合点算法,以证明CDJA的有效性。通过仿真,我们表明CDJA可以显着降低对称和不对称交会系统的交会概率。因此,对于大多数盲集合算法而言,我们的CDJA是一个主要的安全问题,因为CRN中的任何次要用户甚至用户组都可以很容易地被拒绝访问网络。为了缓解此问题,我们重新考虑了随机会合方案,以增加针对CDJA的会合概率。总体而言,当对信道检测人为干扰有安全隐患时,对于对称和非对称模型,随机方案大大优于这些代表性的盲集合点算法。对于不对称系统,显示了一种新的部分随机算法,其性能优于所有其他算法。

著录项

  • 作者

    Oh, Young Hyun.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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