Smart Home Forensics

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The Internet of Things (IoT) has unquestionably exploded into the forefront of everyone's lives, whether they realise it or not. Internet of Things (IoT) technology is now used in medical devices, transportation, and even in our homes. Devices such as these have the ability to access a great deal of personal information. Because of their diminutive size, these devices have made insufficient efforts to build security into their design. Sensors, cameras, and lights are all examples of Internet of Things (IoT) devices that can be used to automate daily tasks around the home. Smartphones and speakers can be used as remote controllers to operate these gadgets. A smart home's IoT devices collect and process data on motion, temperature, lighting control, and other variables, and they store a wider range of data from more diverse users. A wide variety of smart home devices can make extracting meaningful data difficult because of their differing data storage methods. Data from a variety of smart home devices, as well as data that can be used in digital forensics, must be collected and analysed. Google Nest Hub and Samsung Smart Things are the primary sources of forensic smart home data that will be analysed in this study. As a result, we analysed the smart home data collected using companion apps, web interfaces, and APIs to find information that was relevant to our investigation. Various types of data collected by smart homes are also discussed in the paper, and they can be used as crucial evidence in certain forensic cases. IoT devices in a smart home can be hacked, and we'll investigate how, what data can be recovered, and where it resides after it has been hacked as part of our investigation.