Abstract
IoT devices are becoming increasingly ubiquitous because they have greatly simplified many aspects of our daily life and our work. However, most firmware in these embedded devices carry various security vulnerabilities, such as hard-cod-ed passwords, cryptographic keys, insecure configurations and backdoors. Recent large-scale attacks have demonstrated that the security vulnerabilities in IoT firmware have posed a severe threat to the Internet infrastructure. In this work, we design a hybrid platform to detect vulnerabilities in IoT firmware, which integrates both offline static detection and online dynamic detection. Our evaluation on real IoT devices shows that the proposed platform can effectively identify various security weaknesses and risks in firmware, such as dangerous processes, exploitable vulnerabilities, and other attack surfaces.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
