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Detecting Malicious Activities in ZigBee Networks using Cognitive Radio

机译:使用认知无线电检测ZigBee网络中的恶意活动

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ZigBee is a low power, low data wireless protocol that is used for low rate short range (PAN type) networks due to simplicity and ease of use. Different attempts have been proposed to secure the ZigBee networks by proposing a stack modification. Our approach, however, does not require any changes to the protocol stack or to the ZigBee device, and therefore has potential for further application. This approach, as summarized in this paper, is by detecting malicious activities in ZigBee network and denying access. To test the approach we have built a testbed and have experimented with the most likely scenarios of attack for ZigBee sensor networks. It was discovered that the Network Discovery process is the key in all attack scenarios. The idea of adding an intrusion detection system eliminates the threats that are presented by the stack pitfalls and requires no particular change to the existing stack or network. It was observed that the system has successfully secured this process without interrupting or adding traffic to the ZigBee network
机译:ZigBee是一种低功耗,低数据无线协议,由于其简单性和易用性,可用于低速率短距离(PAN类型)网络。已经提出了通过提出堆栈修改来保护ZigBee网络的不同尝试。但是,我们的方法不需要对协议栈或ZigBee设备进行任何更改,因此具有进一步应用的潜力。如本文所述,此方法是通过检测ZigBee网络中的恶意活动并拒绝访问来实现的。为了测试该方法,我们构建了一个测试平台,并针对ZigBee传感器网络最可能的攻击情形进行了实验。发现网络发现过程是所有攻击情形中的关键。添加入侵检测系统的想法消除了堆栈陷阱所带来的威胁,并且不需要对现有堆栈或网络进行任何特定更改。据观察,该系统已成功确保了此过程的安全,而没有中断或增加ZigBee网络的流量

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