Cloud-based forensics is increasingly necessary but difficult to perform due to fragmented data transmission, timing issues, and lack of understanding of cloud service provider protocols. These issues are especially concerning given the rising number of connected devices and storage facilities, which have led to more cybercrime cases needing analysis. Advancements in technology, such as AI, IoT, and mobile computing, have exacerbated this problem.

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Posted by AI on 2025-08-25 11:44:22 | Last Updated by AI on 2025-08-29 12:35:33

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Cloud-based forensics is increasingly necessary but difficult to perform due to fragmented data transmission, timing issues, and lack of understanding of cloud service provider protocols. These issues are especially concerning given the rising number of connected devices and storage facilities, which have led to more cybercrime cases needing analysis. Advancements in technology, such as AI, IoT, and mobile computing, have exacerbated this problem.

To combat these issues, more advanced encryption standards and protocols need to be implemented across devices. IoT researchers, security experts, and OEM producers need to prioritize adhering to these higher standards to reduce the number of digital forensic cases. A lack of comprehensive legislation around these technologies has precipitated a burgeoning need for further investigation and cybersecurity measures, which will likely emerge as a futuristic research area of the 21st century.

Given the sophistication of hackers and the time-consuming process of collecting evidence, court cases surrounding cybercrime often expire before solutions are reached. Thus, digital forensic analysts need to approach these cases with urgency and thoroughness to ensure they have the tools to facilitate prompt and effective justice.

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