Wireless Interference Analysis for Home IoT Security Vulnerability Detection

The integrity of wireless networks that make up the clear majority IoT lack inherent security their wired counterparts. With growth internet things (IoT) and its pervasive nature in modern home environment, it has caused a spike concerns over how network infrastructure handles, transmits, stores data. New attacks such as KeySniffer other this type cannot be tracked by traditional solutions. Therefore, study investigates if spectrum frequency monitoring using interference analysis tools can aid device signals within network. This could used enhance compliance guidelines set forth OWASP NIST for these types devices associated. Active passive scanning are to provide vulnerability comparison discovery purposes. work shows advantages disadvantages signal pattern testing technique compared methods. authors demonstrate RF is an effective way traffic air waves but also possesses limitations knowledge needed decipher patterns. article demonstrates alternative methods detection.