References
- Cisco Visual Networking Index: Forecast and Trends, 2017 -2022 [Internet]. Available: https://davidellis.ca/wp-content/uploads/2019/05/cisco-vni-feb2019.pdf/.
- Current and planned usage of public cloud platform services running applications worldwide as of 2020 [Internet]. Available: https://www.statista.com/statistics/511467/worldwide-survey-public-coud-services-running-application/.
- Purposes for personal cloud service usage in South Korea in 2019 [Internet]. Available: https://www.statista.com/statistics/1013119/south-korea-cloud-service-use-personal-purpose/.
- Purposes for work-related cloud service usage in South Korea in 2019 [Internet]. Available: https://www.statista.com/statistics/1013121/south-korea-cloud-service-use-work-related-purpose/.
- Google Takeout [Internet]. Available: https://takeout.google.com/.
- X. Yu, A. L. Stuart, Y. Liu, C. E. Ivey, A. G. Russell, H. Kan, L. R. Henneman, S. E. Sarnat, S. Hasan, A. Sadmani, and X. Yang, "On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies," Environmental Pollution, vol. 252(A), pp. 924-930, 2019. https://doi.org/10.1016/j.envpol.2019.05.081
- M. Lochtefeld, "DetourNavigator - Using Google Location History to Generate Unfamiliar Personal Routes," Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19), Paper LBW1117, pp. 1-6, 2019.
- H. Chung, J. Park, S. Lee, and C. Kang, "Digital forensic investigation of cloud storage services," Digital Investigation, vol. 9, no. 2, pp. 81-94, 2012. https://doi.org/10.1016/j.diin.2012.05.015
- D. Quick and K. K. R. Choo, "Google Drive: Forensic analysis of data remnants," Journal of Network and Computer Applications, vol. 40, pp. 179-193, 2014. https://doi.org/10.1016/j.jnca.2013.09.016
- C. Federici, "Cloud Data Imager: A unified answer to remote acquisition of cloud storage areas," Digital Investigation, vol. 11, no. 1, pp. 30-42, 2014. https://doi.org/10.1016/j.diin.2014.02.002
- E. Williams and J. Yerby, "Google and Facebook Data Retention and Location Tracking through Forensic Cloud Analysis," Southern Association for Information Systems (SAIS), 2019.
- M. E. Alex and R. Kishore, "Forensics framework for cloud computing," Computers & Electrical Engineering, vol. 60, pp. 193-205, 2017. https://doi.org/10.1016/j.compeleceng.2017.02.006
- D. Birk and C. Wegener, "Technical issues of forensic investigations in cloud computing environments," 2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering. IEEE, pp. 1-10, 2011.
- B. Manral, G. Somani, K. K. R. Choo, M. Conti, and M. S. Gaur, "A systematic survey on cloud forensics challenges, solutions, and future directions," ACM Computing Surveys (CSUR), vol. 52, no. 6, pp. 1-38, 2019.
- D. Kim and S. Lee, "A Study on the Usage of Investigation of Google Cloud Data (Smartphone user-oriented)," Journal of Digital Forensics, vol. 12, no. 3, pp. 107-118, 2018.
- Material Design Lite [Internet]. Available: https://getmdl.io/.
- Bing maps [Internet]. Available: https://www.bing.com/api/maps/sdk/mapcontrol/isdk/loadmapasync/.
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