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Doowon Jeong

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2020 – today

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2022
[j10]
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Wonkyung Kim, Kukheon Lee, Sangjin Lee, Doowon Jeong:
A Deep Learning Approach for Identifying User Interest from Targeted Advertising. J. Inf. Process. Syst. 18(2): 245-257 (2022)
2021
[j9]
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Hoyong Choi, Sangjin Lee, Doowon Jeong:
Forensic Recovery of SQL Server Database: Practical Approach. IEEE Access 9: 14564-14575 (2021)
[j8]
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Hongkyun Kwon, Sangjin Lee, Doowon Jeong:
User profiling via application usage pattern on digital devices for digital forensics. Expert Syst. Appl. 168: 114488 (2021)
2020
[j7]
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Doowon Jeong:
Artificial Intelligence Security Threat, Crime, and Forensics: Taxonomy and Open Issues. IEEE Access 8: 184560-184574 (2020)

2010 – 2019

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2019
[j6]
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Doowon Jeong, Sangjin Lee:
High-Speed Searching Target Data Traces Based on Statistical Sampling for Digital Forensics. IEEE Access 7: 172264-172276 (2019)
[j5]
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Doowon Jeong, Sangjin Lee:
Forensic signature for tracking storage devices: Analysis of UEFI firmware image, disk signature and windows artifacts. Digit. Investig. 29: 21-27 (2019)
2017
[j4]
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Doowon Jeong, Sangjin Lee:
Study on the tracking revision history of MS Word files for forensic investigation. Digit. Investig. 23: 3-10 (2017)
2016
[j3]
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Jongseong Yoon, Doowon Jeong, Chulhoon Kang, Sangjin Lee:
Forensic investigation framework for the document store NoSQL DBMS: MongoDB as a case study. Digit. Investig. 17: 53-65 (2016)
[j2]
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Doowon Jeong, Frank Breitinger, Hari Kang, Sangjin Lee:
Towards Syntactic Approximate Matching - A Pre-Processing Experiment. J. Digit. Forensics Secur. Law 11(2): 97-110 (2016)
2015
[j1]
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Doowon Jeong, Jungheum Park, Sangjin Lee, Chulhoon Kang:
Investigation Methodology of a Virtual Desktop Infrastructure for IoT. J. Appl. Math. 2015: 689870:1-689870:10 (2015)
[c1]
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Jaehyeok Han, Doowon Jeong, Sangjin Lee:
Analysis of the HIKVISION DVR File System. ICDF2C 2015: 189-199

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