The Internet of Things (IoT) has become part of human life since it has made interconnection among people and things together. IoT impacts a security because affected an individual?s well-being. This paper contributes a performance analysis of an intruder detection system based on IoT service network platform. The IoT cycle of intruder monitoring/detection system considered are consists of 4 sections, which are 1) intruder monitoring section, 2) communication network, 3) data processing unit and 4) user interface. Each section has its different role but they work together seamlessly and efficiently. The proposed intruder monitoring device system adopted the Ultrasonic and Passive Infrared (PIR) Sensors. Both were tested the moving detection accuracy performance with various distances in detecting a moving object. The findings were analyzed in terms of percentages. NETPIE-IoT cloud server acts as an intermediary to exchange information with other devices on the internet network. The statistical package for the social sciences (SPSS) used for analyzing the experimental results by comparison between the two their performances. The results showed that the Ultrasonic and PIR sensors show different responses based on individual tests. Both intruder sensors have a statistically significant differences in percentages of moving detection accuracy with 99.94 (Std. Deviation = 0.113) and 99.56 (Std. Deviation = 0 .679) respectively. The Ultrasonic sensor was slowly dropped, whilst the PIR sensor was slightly increased according the distance variations.
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