Proposing a Behavior-Based IDS Model for IoT Environment

In the 21th century, Internet of Things (IoT) is considered an important topic into Information Communication and Technology due to massive revenue and uses in several fields. It has several communication protocols, multiple technologies implemented into its objects, also interactions between IoT applications and users depends on Wireless Sensor Networks technology (WSN). Therefore, improving IoT depends on developing the WSN. WSN is based on spread nodes that are connected with several sensors in order to collect and share information to provide its functionalities. However, there are several threats, vulnerabilities and attacks that affect functionality of WSN. These kind of attacks is considered sophisticated and very difficult to discover and detect. Therefore, there is the need to measure WSN behavior in order to indicate abnormal behavior and classify it as an attack. In this paper, we proposed a model to measure WSN behavior based on attacks effects. Also, this model consists of metrics in order to define a security architecture for Smart City Comprising Intrusion Detection mechanism to detect major attacks.

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