Forensic analysis and security assessment of IoT camera firmware for smart homes

Abstract

Ease of flexibility, convenience, and smartness have made the Internet of Things (IoT) the industry, and user favorite device has recently piqued the industry's interest. With the widespread use of this technology, an unprecedented number of IoT endpoints, including devices in our homes, are now connected to external networks. Firmware of this type is typically heterogeneous and closed source. At the firmware level, it is harder to detect and evaluate security vulnerabilities since their effects are faster and larger. In recent years, several similarity-based firmware security detection techniques and tools have become research hotspots. Security concerns and attacks have risen to the top of the list for IoT security equipment, particularly IoT cameras. Firmware has historically been one of the most neglected areas of device security, leaving it exposed to malicious actors. This research proposes a unique twelve-step process to perform firmware analysis and security assessment of Smart IoT-based Camera devices.