Abstract

The emerging technology of Wireless sensor network is expected to provide Intrusion detection technique for all kind of attacks. This article models and analyzes intrusion detection using flow-based IDS and cross-layered approach. The Critical application needs to replace cryptographic technique with flow-based anomaly detection for secure communication and single layer detection method with multi-layer detection method for efficient attack detection. The proposed detection system has a two-phase approach. In the first phase, flow-based anomaly detection method is used to detect potential anomalies in the network traffic. During second phase cross–layer features are correlated to narrow down the possible attacks. Simulation results clearly show that the proposed detection technique has an excellent performance in terms of detection accuracy, the energy consumption, and the false positive rate will reduce than the layer-based approach and packet-based approach.

中文翻译：

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无线传感器网络中基于流异常检测和跨层特征的新型混合入侵检测

摘要

无线传感器网络的新兴技术有望为各种攻击提供入侵检测技术。本文使用基于流的IDS和跨层方法对入侵检测进行建模和分析。关键应用程序需要用基于流的异常检测来代替加密技术以进行安全通信，而单层检测方法则需要用多层检测方法来进行有效的攻击检测。所提出的检测系统具有两阶段方法。在第一阶段，使用基于流的异常检测方法来检测网络流量中的潜在异常。在第二阶段，跨层功能相互关联以缩小可能的攻击范围。仿真结果清楚地表明，提出的检测技术在检测精度方面具有出色的性能，