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Wooyeon Jo
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2020 – today
- 2024
- [c6]Adeen Ayub, Wooyeon Jo, Irfan Ahmed:
Charlie, Charlie, Charlie on Industrial Control Systems: PLC Control Logic Attacks by Design, Not by Chance. HOST 2024: 182-193 - 2023
- [j13]Adeen Ayub
, Wooyeon Jo
, Syed Ali Qasim
, Irfan Ahmed
:
How Are Industrial Control Systems Insecure by Design? A Deeper Insight Into Real-World Programmable Logic Controllers. IEEE Secur. Priv. 21(4): 10-19 (2023) - [j12]Minju Kim, Yeonghun Shin, Wooyeon Jo, Taeshik Shon:
Digital forensic analysis of intelligent and smart IoT devices. J. Supercomput. 79(1): 973-997 (2023) - [c5]Adeen Ayub, Nauman Zubair, Hyunguk Yoo, Wooyeon Jo, Irfan Ahmed
:
Gadgets of Gadgets in Industrial Control Systems: Return Oriented Programming Attacks on PLCs. HOST 2023: 215-226 - 2022
- [j11]Wooyeon Jo, SungJin Kim, Hyunjin Kim, Yeonghun Shin, Taeshik Shon:
Automatic whitelist generation system for ethernet based in-vehicle network. Comput. Ind. 142: 103735 (2022) - [j10]Hyungchan Kim
, Yeonghun Shin, Sungbum Kim, Wooyeon Jo
, Minju Kim, Taeshik Shon:
Digital Forensic Analysis to Improve User Privacy on Android. Sensors 22(11): 3971 (2022) - [j9]Yeonghun Shin
, Sungbum Kim, Wooyeon Jo, Taeshik Shon:
Digital Forensic Case Studies for In-Vehicle Infotainment Systems Using Android Auto and Apple CarPlay. Sensors 22(19): 7196 (2022) - [j8]Sungbum Kim
, Wooyeon Jo, Jino Lee, Taeshik Shon:
AI-enabled device digital forensics for smart cities. J. Supercomput. 78(2): 3029-3044 (2022) - 2021
- [j7]Hyunjin Kim
, Sungjin Kim
, Wooyeon Jo
, Ki-Hyun Kim, Taeshik Shon
:
Unknown Payload Anomaly Detection Based on Format and Field Semantics Inference in Cyber-Physical Infrastructure Systems. IEEE Access 9: 75542-75552 (2021) - [c4]Hyungchan Kim, Yeonghun Shin, Sungbum Kim, Minju Kim, Wooyeon Jo, Taeshik Shon:
Data Deletion and Recovery of Androd Plaforms. CSCI 2021: 651-654 - [c3]Minju Kim, Yeonghun Shin, Wooyeon Jo, Taeshik Shon:
Security Analysis of Smart Watch and Band Devices. CSCI 2021: 655-658 - 2020
- [j6]SungJin Kim, Wooyeon Jo, Taeshik Shon
:
APAD: Autoencoder-based Payload Anomaly Detection for industrial IoE. Appl. Soft Comput. 88: 106017 (2020) - [j5]Yeonghun Shin, Hyungchan Kim, Sungbum Kim, Dongkyun Yoo, Wooyeon Jo, Taeshik Shon:
Certificate Injection-Based Encrypted Traffic Forensics in AI Speaker Ecosystem. Digit. Investig. 33 Supplement: 301010 (2020) - [j4]Seokjun Lee, Wooyeon Jo, Soowoong Eo, Taeshik Shon
:
ExtSFR: scalable file recovery framework based on an Ext file system. Multim. Tools Appl. 79(23-24): 16093-16111 (2020)
2010 – 2019
- 2019
- [j3]Wooyeon Jo, Yeonghun Shin, Hyungchan Kim, Dongkyun Yoo, Donghyun Kim, Cheulhoon Kang, Jongmin Jin, Jungkyung Oh, Bitna Na, Taeshik Shon:
Digital Forensic Practices and Methodologies for AI Speaker Ecosystems. Digit. Investig. 29 Supplement: S80-S93 (2019) - [j2]Myungjong Kim, Wooyeon Jo, Jaehoon Kim, Taeshik Shon:
Visualization for internet of things: power system and financial network cases. Multim. Tools Appl. 78(3): 3241-3265 (2019) - 2018
- [j1]Wooyeon Jo, Hyun Soo Chang, Taeshik Shon:
Digital forensic science approach by file recovery research. J. Supercomput. 74(8): 3704-3725 (2018) - [c2]Hyunjin Kim, SungJin Kim, SungMoon Kwon, Wooyeon Jo, Taeshik Shon:
A Novel Security Framework for Industrial IoT Based on ISA 100.11a. QSHINE 2018: 61-72 - 2015
- [c1]Soowoong Eo, Wooyeon Jo, Seokjun Lee, Taeshik Shon:
A Phase of Deleted File Recovery for Digital Forensics Research in Tizen. ICITCS 2015: 1-3
Coauthor Index
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last updated on 2024-06-20 20:43 CEST by the dblp team
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