In the exploration of IoT Forensics, this literature review delves into the challenges faced by digital forensics experts dealing with Internet of Things (IoT) devices. Traditional computer forensics techniques fall short in this dynamic landscape, prompting researchers to develop specialized investigation frameworks and procedures. This page will summarize the theoretical part of this work, summarizing the main findings.

The literature reveals that IoT forensic investigation frameworks serve as structured methodologies, offering a roadmap for digital forensic inquiries within IoT ecosystems. These frameworks bring organizational benefits, ensuring focus, and enhancing the precision of investigations. However, the establishment of standards poses significant challenges owing to the diverse array of IoT devices, rapid technological evolution, and privacy considerations. Ongoing efforts in standardization emerge as critical for the maturation of IoT forensics, aiming to create a common ground for consistent practices, methodologies, and techniques.

Existing IoT Forensics Frameworks

An in-depth examination of existing frameworks emphasizes their pivotal role in providing a structured approach to IoT investigations. Yet, a notable gap surfaces between theoretical frameworks and practical implementation, underscoring the need for more pragmatic strategies. Particularly intriguing is the underexplored domain of smart home forensic frameworks, with limited studies addressing the unique challenges associated with domestic IoT devices.

In tandem with frameworks, IoT forensic procedures unfold specific steps and techniques designed for acquiring data from diverse IoT devices. Case studies spotlighting Smart TVs, smart home hubs, wearables, and other devices showcase a spectrum of methods, highlighting the imperative for device-specific approaches. Techniques range from manual acquisition methodologies to logical extractions, with a persistent challenge arising from the dependency on synchronized smartphones for comprehensive data extraction.

The literature culminates in a resounding call for ongoing research initiatives and standardization efforts in the ever-evolving field of IoT forensics. As IoT devices continue their rapid evolution, the implementation and rigorous testing of proposed frameworks stand as linchpins, ensuring the integrity and efficacy of forensic investigations in this dynamic and challenging technological landscape.