IoT Vulnerability Scanner in Smart Home Devices

Smart homes are becoming increasingly common, and with them comes a growing attack surface that most homeowners are completely unaware of. The IoT Vulnerability Scanner presented in this paper offers a practical solution to this problem — one that is affordable, easy to use, and effective. By automating the discovery and analysis of connected devices, the system removes the technical barrier that has traditionally kept residential users from assessing their own network security. The integration of AES-128 encryption ensures that the scanner itself does not introduce new vulnerabilities while doing its job. With a vulnerability detection accuracy of 94.7% and a system uptime of 99.8%, the results speak for themselves. Looking ahead, future work will focus on expanding the vulnerability database with real-time CVE feeds, adding support for Zigbee and Z-Wave protocol analysis, and developing a mobile companion app for on-the-go monitoring. There is also significant potential for integrating machine learning-based anomaly detection to identify unusual device behavior patterns that may signal a breach in progress. In a world where the number of connected devices per household continues to grow, tools like the IoT Vulnerability Scanner are not just useful — they are essential. We hope this work contributes to a broader conversation about making cybersecurity accessible to everyone, not just those with technical backgrounds.

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