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Doowon Jeong
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2020 – today
- 2022
- [j10]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]Hoyong Choi
, Sangjin Lee
, Doowon Jeong
:
Forensic Recovery of SQL Server Database: Practical Approach. IEEE Access 9: 14564-14575 (2021) - [j8]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]Doowon Jeong
:
Artificial Intelligence Security Threat, Crime, and Forensics: Taxonomy and Open Issues. IEEE Access 8: 184560-184574 (2020)
2010 – 2019
- 2019
- [j6]Doowon Jeong
, Sangjin Lee
:
High-Speed Searching Target Data Traces Based on Statistical Sampling for Digital Forensics. IEEE Access 7: 172264-172276 (2019) - [j5]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]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]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]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]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]Jaehyeok Han, Doowon Jeong, Sangjin Lee:
Analysis of the HIKVISION DVR File System. ICDF2C 2015: 189-199
Coauthor Index

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last updated on 2022-08-25 05:58 CEST by the dblp team
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