HAS: Hidden anti-theft system based on wireless sensor networks

Wireless sensor networks(WSNs) are being widely deployed for many monitoring applications, of which a popular one is anti-theft. However, current WSN technologies for anti-theft are either very susceptible to the environment interference or easily compromised by the thieves. Hence, they fail to achieve the desired effectiveness in many anti-theft scenarios. To address these limitations, this paper proposes a novel Hidden Anti-theft System (HAS) to monitor theft intrusion, which is based on the influences of theft intrusion on signal strength according to the shadowing effect in wireless communication. The theft intrusion is detected by finding abnormal RSSI samples of a wireless link compared with the stable range of signal strength in the link´s normal state. Through the proposed monitoring approach, HAS can effectively detect intrusion while keeping invisible. In HAS system, to achieve load balance for detection task, we propose an efficient algorithm to determine the set of links that each node monitors. To reduce the response time, a dual-layer scanning solution with dual-radio nodes is proposed to scan the monitoring area more intensively. The experiment results show that the efficiency of HAS. HAS achieves very low false positive and false negative rates, and the response time of dual-layer scanning is 54.2% less than single layer scanning.