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

机译:使用聚合消息认证码,无线传感器网络中的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:数据聚合是最常用的方法,用于扩展无线传感器网络(WSN)的寿命。 WSNS暴露于事件,错误和恶意活动,可能导致发送到基站的不可靠和不正确的读数,通常称为异常值。这些异常值可以表示紧急情况,例如,温度值的上升可以表示火灾。因此,如果未适当处理此异常值,则可能会导致严重后果。数据聚合方案不会考虑此类异常值并将其与正常值聚合。因此,我们需要用安全数据聚合(SDA)方案结合异常检测。对手可以损坏这些异常值,因此需要处理异常值的完整性。在许多通信中使用消息认证码(MAC)经典地实现完整性。 WSN的传输信道容量通常很小,因此MAC表示显着的开销。这一事实介绍了查找计算聚合MAC(AMAC)的方法的范围。我们提出了一种具有使用AMAC的异常检测机制的新型SDA协议。

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