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A secure data aggregation protocol for outlier detection in wireless sensor networks using aggregate Message Authentication Code

机译:使用聚合消息身份验证代码在无线传感器网络中进行异常检测的安全数据聚合协议

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Data aggregation is the most commonly used approach for extending the lifetime of the wireless sensor networks (WSNs). WSNs are exposed to events, errors and malicious activities which can cause unreliable and improper readings sent to the base station, often called as outlier values. These outlier values can indicate an emergency, for example, a rise in temperature value can indicate a fire. Hence, if this outlier value is not handled appropriately, then it can cause serious consequences. The data aggregation schemes do not take such outlier values into consideration and aggregates them with the normal values. Thus, we need to incorporate the outlier detection with the Secure Data Aggregation (SDA) scheme. The adversary can corrupt these outlier values, so the integrity of the outlier values needs to be taken care of. Integrity is classically achieved using a Message Authentication Code (MAC) in many to one communication. Transmission channel capacity of WSN is often small, so MAC represents a significant overhead. This fact introduced scope to find methods to compute the aggregate MAC (AMAC). We have proposed a novel SDA protocol with outlier detection mechanism that uses AMAC.
机译:数据聚合是延长无线传感器网络(WSN)寿命的最常用方法。 WSN暴露于事件,错误和恶意活动中,这些事件,错误和恶意活动可能导致将不可靠和不正确的读数发送到基站,通常称为异常值。这些异常值可能表示紧急情况,例如,温度值升高可能表示火灾。因此,如果未适当处理此异常值,则可能导致严重的后果。数据聚合方案不考虑这些异常值,而是将其与正常值进行聚合。因此,我们需要将离群值检测与安全数据聚合(SDA)方案结合在一起。对手可能破坏这些离群值,因此需要注意离群值的完整性。通常,在多对一通信中使用消息认证码(MAC)来实现完整性。 WSN的传输信道容量通常很小,因此MAC代表了巨大的开销。这一事实为寻找计算聚合MAC(AMAC)的方法提供了范围。我们提出了一种新颖的具有AMAC异常检测机制的SDA协议。

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