In this paper, we analyze trends in the use of mobile forensic technology, focusing on cases where mobile forensics are used, and we predict the development of future mobile forensics technology using linear regression used in future prediction models. For the current status and outlook analysis, we extracted a total of 8 variables by analyzing 1,397 domestic and foreign mobile forensics-related cases and newspaper articles. We analyzed the prospects for each variable using the year of occurrence as an independent variable, seven variables such as text (text message usage information), communication information (cell phone communication information), Internet usage information, messenger usage information, stored files, GPS, and others as dependent variables. As a result of the analysis, among various aspects of the use of mobile devices, the use of Internet usage information, messenger usage information, and data stored in mobile devices is expected to increase. Therefore, it is expected that continuous research on technologies that can effectively extract and analyze characteristic information of mobile devices such as file systems, the Internet, and messengers will be needed As mobile devices increase performance and utilization in the future and security technology.
@article{ART002889744}, author={Sang-Yong Choi}, title={The Trends and Prospects of Mobile Forensics Using Linear Regression}, journal={Journal of The Korea Society of Computer and Information}, issn={1598-849X}, year={2022}, volume={27}, number={10}, pages={115-121}, doi={10.9708/jksci.2022.27.10.115}
TY - JOUR AU - Sang-Yong Choi TI - The Trends and Prospects of Mobile Forensics Using Linear Regression JO - Journal of The Korea Society of Computer and Information PY - 2022 VL - 27 IS - 10 PB - The Korean Society Of Computer And Information SP - 115 EP - 121 SN - 1598-849X AB - In this paper, we analyze trends in the use of mobile forensic technology, focusing on cases where mobile forensics are used, and we predict the development of future mobile forensics technology using linear regression used in future prediction models. For the current status and outlook analysis, we extracted a total of 8 variables by analyzing 1,397 domestic and foreign mobile forensics-related cases and newspaper articles. We analyzed the prospects for each variable using the year of occurrence as an independent variable, seven variables such as text (text message usage information), communication information (cell phone communication information), Internet usage information, messenger usage information, stored files, GPS, and others as dependent variables. As a result of the analysis, among various aspects of the use of mobile devices, the use of Internet usage information, messenger usage information, and data stored in mobile devices is expected to increase. Therefore, it is expected that continuous research on technologies that can effectively extract and analyze characteristic information of mobile devices such as file systems, the Internet, and messengers will be needed As mobile devices increase performance and utilization in the future and security technology. KW - Mobile Forensic;Cyber Crime;Forensic Tools;Logistic Regression;Prospect DO - 10.9708/jksci.2022.27.10.115 ER -
Sang-Yong Choi. (2022). The Trends and Prospects of Mobile Forensics Using Linear Regression. Journal of The Korea Society of Computer and Information, 27(10), 115-121.
Sang-Yong Choi. 2022, "The Trends and Prospects of Mobile Forensics Using Linear Regression", Journal of The Korea Society of Computer and Information, vol.27, no.10 pp.115-121. Available from: doi:10.9708/jksci.2022.27.10.115
Sang-Yong Choi "The Trends and Prospects of Mobile Forensics Using Linear Regression" Journal of The Korea Society of Computer and Information 27.10 pp.115-121 (2022) : 115.
Sang-Yong Choi. The Trends and Prospects of Mobile Forensics Using Linear Regression. 2022; 27(10), 115-121. Available from: doi:10.9708/jksci.2022.27.10.115
Sang-Yong Choi. "The Trends and Prospects of Mobile Forensics Using Linear Regression" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 115-121.doi: 10.9708/jksci.2022.27.10.115
Sang-Yong Choi. The Trends and Prospects of Mobile Forensics Using Linear Regression. Journal of The Korea Society of Computer and Information, 27(10), 115-121. doi: 10.9708/jksci.2022.27.10.115
Sang-Yong Choi. The Trends and Prospects of Mobile Forensics Using Linear Regression. Journal of The Korea Society of Computer and Information. 2022; 27(10) 115-121. doi: 10.9708/jksci.2022.27.10.115
Sang-Yong Choi. The Trends and Prospects of Mobile Forensics Using Linear Regression. 2022; 27(10), 115-121. Available from: doi:10.9708/jksci.2022.27.10.115
Sang-Yong Choi. "The Trends and Prospects of Mobile Forensics Using Linear Regression" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 115-121.doi: 10.9708/jksci.2022.27.10.115