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

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 similaritybased 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.

Automated summary

The ease of flexibility, convenience, and smartness has made IoT a popular choice among industries and users, leading to a growing interest in this technology. With the increasing use of IoT, a large number of endpoints, including devices in our homes, are now connected to external networks. Firmware in IoT devices is typically heterogeneous and closed source, making it challenging to detect and evaluate security vulnerabilities. In recent years, similarity-based firmware security detection techniques have gained attention in research. Security concerns and attacks have become prominent in IoT security equipment, particularly IoT cameras. This research proposes a unique twelve-step process for analyzing and assessing the security of firmware in Smart IoT-based Camera devices.