Georgia Southern University Digital Commons@Georgia Southern Electronic Theses and Dissertations Graduate Studies, Jack N. Averitt College of Spring 2018 Digital Forensic Tools & Cloud-Based Machine Learning for Analyzing Crime Data Majeed Kayode Raji Follow this and additional works at: https://digitalcommons.georgiasouthern.edu/etd Part of the Business Analytics Commons, Business Intelligence Commons, Computational Engineering Commons, and the Other Engineering Commons Recommended Citation Raji, Majeed Kayode, "Digital Forensic Tools & Cloud-Based Machine Learning for Analyzing Crime Data" (2018). Electronic Theses and Dissertations. 1879. https://digitalcommons.georgiasouthern.edu/etd/1879 This thesis (open access) is brought to you for free and open access by the Graduate Studies, Jack N. Averitt College of at Digital Commons@Georgia Southern. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons@Georgia Southern. For more information, please contact
[email protected]. DIGITAL FORENSIC TOOLS & CLOUD-BASED MACHINE LEARNING FOR ANALYZING CRIME DATA by MAJEED KAYODE RAJI (Under the Direction of Hayden Wimmer) ABSTRACT Digital forensics is a branch of forensic science in which we can recreate past events using forensic tools for a legal measure. Also, the increase in the availability of mobile devices has led to their use in criminal activities. Moreover, the rate at which data is being generated has been on the increase which has led to big data problems. With cloud computing, data can now be stored, processed and analyzed as they are generated. This thesis document consists of three studies related to data analysis. The first study involves analyzing data from an Android smartphone while making a comparison between two forensic tools; Paraben E3: DS and Autopsy.