Digital Forensics - Machine Learning and Big Data - Literature Review Writing Assessment Answer

Digital Forensics Literature Review Writing Assessment Answer

Machine Learning and Big Data

1. Machine Learning and Big Data: What issues is the digital forensic discipline facing due to the ever-growing capacities of storage media, and the requirement to acquire and analyse large volumes of data? How could machine learning be leveraged to assist practitioners to analyse evidence? Are there any potential disadvantages in employing these techniques?
2. Smartphone Forensics: Smartphones have become a ubiquitous device used throughout the day to undertake a variety of activities which may have been traditionally completed using a PC. What are the implications in the rise of smartphones for forensic practitioners?
3. Internet of Things (IoT): The proliferation of IoT devices within homes and businesses is likely to grow in the coming years. The data stored has the potential to provide forensic practitioners with new and interesting sources of evidence for presentation. Based on reviewing current IoT devices and services, what types of evidential artifacts will forensic practitioners be able to obtain, for both traditional and cybercrime investigations, and what evidence sources (e.g. devices, networks, servers) could they use to collect these artifacts?

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