Recognition and Preprocessing of Intrusion Data in Wireless Sensor Network
نویسندگان
چکیده
In wireless sensor networks (WSNs), the significant deviation of measurements from the normal pattern of sensed data are considered as intrusion. The main sources of intrusion are noise and errors, events, and malicious attacks on the network. In this work, we focused on the problem of detecting the intrusion by proposing a model that is based on distribution of sensor data stream approximately over the data space. With the set of data collected from Intel Berkley lab, we processed this data by our proposed scheme and evaluated it. We find that experimental evaluation of our proposed scheme can achieve high precision rating for detecting intrusion. Key Terms: Intrusion; Statistic; Kernel; Sensitive; Probability
منابع مشابه
Securing Cluster-heads in Wireless Sensor Networks by a Hybrid Intrusion Detection System Based on Data Mining
Cluster-based Wireless Sensor Network (CWSN) is a kind of WSNs that because of avoiding long distance communications, preserve the energy of nodes and so is attractive for related applications. The criticality of most applications of WSNs and also their unattended nature, makes sensor nodes often susceptible to many types of attacks. Based on this fact, it is clear that cluster heads (CHs) are ...
متن کاملEIDA: An Energy-Intrusion aware Data Aggregation Technique for Wireless Sensor Networks
Energy consumption is considered as a critical issue in wireless sensor networks (WSNs). Batteries of sensor nodes have limited power supply which in turn limits services and applications that can be supported by them. An efcient solution to improve energy consumption and even trafc in WSNs is Data Aggregation (DA) that can reduce the number of transmissions. Two main challenges for DA are: (i)...
متن کاملIntrusion Detection in Wireless Sensor Networks using Genetic Algorithm
Wireless sensor networks, due to the characteristics of sensors such as wireless communication channels, the lack of infrastructure and targeted threats, are very vulnerable to the various attacks. Routing attacks on the networks, where a malicious node from sending data to the base station is perceived. In this article, a method that can be used to transfer the data securely to prevent attacks...
متن کاملEvaluation of an Intrusion Detection System for Routing Attacks in Wireless Self-organised Networks
Wireless Sensor Networks (WSNs) arebecoming increasingly popular, and very useful in militaryapplications and environmental monitoring. However,security is a major challenge for WSNs because they areusually setup in unprotected environments. Our goal in thisstudy is to simulate an Intrusion Detection System (IDS)that monitors the WSN and report intrusions accurately andeffectively. We have thus...
متن کاملA Lightweight Intrusion Detection System Based on Specifications to Improve Security in Wireless Sensor Networks
Due to the prevalence of Wireless Sensor Networks (WSNs) in the many mission-critical applications such as military areas, security has been considered as one of the essential parameters in Quality of Service (QoS), and Intrusion Detection System (IDS) is considered as a fundamental requirement for security in these networks. This paper presents a lightweight Intrusion Detection System to prote...
متن کاملOutlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis
Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...
متن کامل