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43 |
Automotive digital forensic through data and log analysis of vehicle diagnosis Android apps
Jeeheun Jung, Minkyu Park, Sangchul Han, Seong-je Cho
[SCI(E)] Forensic Science International: Digital Investigation 49 (2024) 301752
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2021R1A2C2012574); and Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MIST) (No. 2022-0-01022, Development of Collection and Integrated Analysis Methods of Automotive Inter/Intra System Artifacts through Construction of Event-based experimental system)
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42 |
Predicting Bus Travel Time in Cheonan City through Deep Learning Utilizing Digital Tachograph Data
Ghulam Mustafa, Youngsup Hwang, Seong-Je Cho
[SCI(E)] Electronics 2024, 13(9), 1771
This work was supported by the Basic Science Research Program through the National Re- search Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2021R1A2C2012574); and the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MIST) (No. 2022-0-01022, Development of Collection and In- tegrated Analysis Methods of Automotive Inter/Intra System Artifacts through Construction of Event-based experimental system)
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41 |
Android-Based Audio Video Navigation System Forensics: A Case Study (2023.03.)
Haein Kang, Hojun Seong, Ilkyu Kim, Wookjae Jeong, Seong-Je Cho, Minkyu Park, Sangchul Han
[SCI(E)] Applied Sciences, 13(10), 6176
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT (no. 2021R1A2C2012574), and by Institute of Information & communications Technology Planning & Evaluation(IITP) grantfunded by the Korea government(MIST) (No.2022-0-01022, Development of Collection and Integrated Analysis Methods of Automotive Inter/Intra System Artifacts through Construction of Event-based experimental system).
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40 |
Deoptfuscator: Defeating Advanced Control-Flow Obfuscation Using Android Runtime (ART) (2022.06.)
Geunha You, Gyoosik Kim, Sangchul Han, Minkyu Park, Seong-Je Cho
[SCI(E)] IEEE Access, 10, pp.61426-61440
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and Information and Communication Technology (ICT) under Grant 2018R1A2B2004830 and Grant 2021R1A2C2012574.
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39 |
Forensic Analysis of Apple CarPlay: A Case Study (2022.01)
Junsu Lee, Juwon Kim, Hojun Seong, Keonyong Lee, Seong-je Cho, Younjai Park, Minkyu Park
[SCOPUS] Communications in Computer and Information Science, Volume 1544
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (no. 2021R1A2C2012574), and also supported by Research Program funded by the Supreme Prosecutors’ Office of the Republic of Korea (SPO).
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38 |
Efficient Deep Learning Network with Multi-Streams for Android Malware Family Classification (2021.12.)
Hyun-il Kim, Moonyoung Kang, Seong-je Cho, Sang-il Choi
[SCI(E)] IEEE Access, 10, pp.5518-5532
The present research was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2021R1A2B5B01001412) and the Republic of Korea’s MSIT (Ministry of Science and ICT), under the High-Potential Individuals Global Training Program) (No. 2020-0-01463) supervised by the IITP (Institute of Information and Communications Technology Planning & Evaluation) and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2018R1A2B2004830).
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37 |
Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions (2021.11.)
Minki Kim, Daehan Kim, Changha Hwang, Seongje Cho, Sangchul Han, Minkyu Park
[SCI(E)] Appl. Sci. 2021, 11(21), 10244
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2021R1A2C2012574).
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36 |
Anomaly Detection Based on Temporal Behavior Monitoring in Programmable Logic Controllers (2021.05.)
Seungjae Han, Keonyong Lee, Seongje Cho, Moonju Park
[SCI(E)] Electronics 2021, 10(10), 1218
This work was supported by Incheon National University Research Fund in 2020.
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35 |
Android Malware Detection System using Deep Learning and Code Item (2021.04.)
Seung-Pill W. Coleman Young-Sup Hwang
[SCOPUS] IEIE Transactions on Smart Processing & Computing Vol.10 No.2
This work was supported by the Sun Moon University Research Grant of 2014. This research was also supported by the National Research Foundation of Korea (NRF) and funded by the Ministry of Science and ICT(no. 2018R1A2B2004830).
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34 |
Feature Engineering and Evaluation for Android Malware Detection Scheme (2021.03.)
Jaemin Jung, Jihyeon Park, Seong-je Cho, Sangchul Han, Minkyu Park, Hsin-Hung Cho
[SCI(E)] Journal of Internet Technology Volume 22, No. 2 March 2021
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2018R1A2B2004830).
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33 |
A Comparative Study on Optimization, Obfuscation, and Deobfuscation Tools in Android (2021.02.)
Geunha You, Gyoosik Kim, Seong-je Cho, Hyoil Han
[SCOPUS] Journal of Internet Services and Information Security (JISIS) Vol.11 No.1 pp.1-14
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT (no. 2018R1A2B2004830) and the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2015-0-00363) supervised by the IITP(Institute for Information & Commu- nications Technology Planning & Evaluation).
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32 |
Representing Multicloud Security and Privacy Policies and Detecting Potential Problems (2020.04.)
Anthony Opara, Youngsang Song, Seong-je Cho, Lawrence Chung
[SCOPUS] International Conference on Service-Oriented Computing (LNCS) pp. 57-68 .Springer, Cham.
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31 |
A Framework for Identifying Obfuscation Techniques applied to Android Apps using Machine Learning (2019.12.)
Minjae Park, Geunha You, Seong-je Cho, Minkyu Park, Sangchul Han
[SCOPUS] Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 10(4), pp.22-30
This research was supported by (1) Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT (no. 2018R1A2B2004830) and (2) the MSIT(Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP(Institute for Information & communications Technology Promotion) (2017-0- 00091)
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30 |
RomaDroid: A Robust and Efficient Technique for Detecting Android App Clones Using a Tree Structure
and Components of Each App's Manifest File (2019.05.)
Byeongchul Kim, Kyeonghwan Lim, Seong-je Cho, Minkyu Park
[SCI(E)] IEEE Access, 7(1): 72182-72196
The present research was supported by the research fund of Dankook University in 2017.
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29 |
Protecting Android Applications with Multiple DEX Files against Static Reverse Engineering Attacks (2019.03.)
Kyeonghwan Lim, Nakyeong Kim, Younsik Jeong, Seong-je Cho, Sangchul Han, Minkyu Park
[SCI(E)] INTELLIGENT AUTOMATION AND SOFT COMPUTING, 25(1): 143-154
This work was supported by the MSIP, Korea, under the ITRC support program(IITP-2016-R099216-1012) supervised by the IITP. This research was also supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and Future Planning (No. 2015R1A2A1A15053738)
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28 |
Efficient Android Malware Detection Using API Rank and Machine Learning (2019.02.)
Jaemin Jung, Hyunjin Kim, Seong-je Cho, Sangchul Han, and Kyoungwon Suh
[SCOPUS] Journal of Internet Services and Information Security 9(1) pp.48-59
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT (no. 2018R1A2B2004830)
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27 |
SimAndro: an effective method to compute similarity of Android applications (2019.01)
Masoud Reyhani Hamedan, Gyoosik Kim, and Seong-je Cho
[SCI(E)]Soft Computing, Vol. 23, Issue 17, pp 7569-7590
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. 2015R1D1A1A02061946), and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (no. 2018R1A2B2004830).
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26 |
AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features (2018.09.)
Masoud Reyhani Hamedani, Dongjin Shin, Myeonggeon Lee, Seong-Je Cho, and Changha Hwang
[SCI(E)]Wireless Communications and Mobile Computing 2018 (2018)
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2015R1D1A1A02061946).
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25 |
Parallel Multiple Pattern Matching Schemes based on Cuckoo filter for Deep Packet Inspection on Graphics Processing Units (2018. 07)
ThienLuan Ho, Seong-je Cho, Seung-Rohk Oh
[SCI(E)] IET Information Security, 12(4): 381-388
This research was supported by the Korea Institute of EnergyTechnology Evaluation and Planning (KETEP) and the Ministry ofTrade, Industry & Energy (MOTIE) of the Republic of Korea (No.20171510102080).
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24 |
Static and Dynamic Analysis of Android Malware and Goodware Written with Unity Framework (2018.06.)
Jaewoo Shim, Kyeonghwan Lim, Seongje Cho, Sangchul Han, Minkyu Park
[SCI(E)] Security and Communication Networks, vol.2018, Article ID 6280768, 12 pages
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and Future Planning [no. 2015R1A2A1A15053738]. This research was also supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program [IITP-2018-2015-0-00363] supervised by the IITP (Institute for Information & Communications Technology Promotio).
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23 |
A software classification scheme using binary-level characteristics for efficient software filtering (2018.01.)
Yesol Kim, Seongje Cho, Sangchul Han, Ilsun Yu
[SCI(E)] Soft Computing, Vol. 22, Issue 2, pp 595-606
The present research was funded by (1) Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. NRF-2015R1D1A1A02061946) and (2) the research fund of Dankook University (BK21 Plus) in 2014.
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22 |
SVM-based Android Application Classification using API Calls (2017.11.)
Myeonggeon Lee, Masoud Reyhani Hamedani, Gyoosik Kim, Tae Kyung Kim, Seong-je Cho
Research Briefs on Information & Communication Technology Evolution (ReBICTE), 18.3
The present research was funded by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. NRF-2015R1D1A1A02061946)
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21 |
Open Source Software Detection using Function Parameter based Software Birthmark (2017.07.)
Dongjin Kim, Seongje Cho, Minkyu Park, Sangchul Han
[SCI(E)] Journal of Internet Technology, 18.4
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(no. RF-2015R1D1A1A02061946) / This research was supported by the MSIP, Korea, under the ITRC support program (IITP-2016-R0992-16-1012) supervised by the IITP
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20 |
Android Application Protection against Static Reverse Engineering based on Multidexing (2016.11.)
Nakyoung Kim, Jaewoo Shim, Seongje Cho, Sangchul Han, Minkyu Park
J.Internet Serv. Inf. Secur., 2016, 6.4: 54-64.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and Future Planning(No. 2015R1A2A1A15053738)
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19 |
An Android Application Protection Scheme against Dynamic Reverse Engineering Attacks (2016.09.)
Kyunghwan Lim, Younsik Jeong, Seongje Cho, Minkyu Park, Sangchul Han
[SCOPUS] JoWUA, 2016, 7.3: 40-52.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(no. RF-2015R1D1A1A02061946) / This research was supported by the MSIP, Korea, under the ITRC support program (IITP-2016-R0992-16-1012) supervised by the IITP
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18 |
Clustering Microsoft Windows Executables based on TF-IDF and API Information (2016.08.)
Jonghwa Park, Gyoosik Kim, Seongje Cho, Youngsup Hwang
Research Briefs on Information & Communication Technology Evolution (ReBICTE), 2.7:1-8. 2383-9201
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17 |
Protecting Data on Android Platform against Privilege Escalation Attack (2016.01.)
Hwantaek Lee, Dongjin Kim, Seongje Cho, Minkyu Park
[SCI(E)] International Journal of Computer Mathematics, 93.2:401-414. 2020-7160
This research was supported by Ministry of Culture, Sports and Tourism(MCST) and from Korea Copyright Commission in 2014, and by the ICT R&D program of MSIP/IITP. [2014(2013-005-016-002), Development of technology for preventing illegal use of android application source code].
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16 |
Effective and efficient detection of software theft via dynamic API authority vectors (2015.12.)
Dongkyu Chae, Seongje Cho, Yesol Kim, Sangwook Kim
[SCI(E)] The Journal of Systems and Software, 1-9. 0164-1212
This research was supported by (1) Ministry of Culture, Sports, and Tourism (MCST) via Korea Copyright Commission in 2014, (2) the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (no. NRF-2014R1A2A1A10054151), (3) the Ministry of Science, ICT and Future Planning (MSIP), Korea, under the Information Technology Research Center (ITRC) support program (NIPA-2014-H0301-14-1022) supervised by the National IT Industry Promotion Agency (NIPA), and (4) Semiconductor Industry Collaborative Project between Hanyang University and Samsung Electronics Co. Ltd.
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15 |
Effects of Code Obfuscation on Android App Similarity Analysis (2015.12.)
Jonghwa Park, Hyojung Kim, Younsik Jeong, Seongje Cho, Sangchul Han, Minkyu Park
[SCI(E)] JoWUA, 2015, 6.4: 86-98. 2093-5374
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (NRF-2015R1D1A1A02061946).
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14 |
An effective and intelligent Windows application filtering system using software similarity (2015.04.)
Dongjin Kim, Yesol Kim, Seongje Cho, Minkyu Park, Sangcheol Han, Guksun Lee, Youngseop Hwang
[SCI(E)] Soft Computing, 2016, 20.5: 1821-1827. 1432-1643
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2015-H8501-15-1012) supervised by the IITP(Institute for Information & communications Technology Promotion) and Ministry of Culture, Sports and Tourism(MCST) and from Korea Copyright Commission in 2014.
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13 |
An Efficient Digital Contents Encryption Scheme for Mobile Devices using Open Pad of Bit-Stream Blocks (2014.09.)
Younsik Jeong, Seongje Cho, Jeonguk Ko, Hyungjoon Shim, Jongcheon Choi, Moonju Park, Joonmo Kim, Minkyu Park, Sangchul Han
Information-An International Interdisciplinary journal, 17.9(B):4443-4453. 1343-4500
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12 |
Unified security enhancement framework for the Android operating system (2014.08.)
Chanhee Lee, Jonghwa Kim, JongMoo Choi, Yeongung Park, Seongje Cho
[SCI(E)] The Journal of Supercomputing, 2014, 67.3: 738-756. 0920-8545
Vulnerability Management and Secure SLC for Smartphone Software
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11 |
A New Detection Scheme of Software Copyright Infringement using Software Birthmark on Windows Systems (2014.01.)
Yongman Han, Jongcheon Choi, Seongje Cho, Haeyoung Yoo, Jinwoon Woo, Yunmook Nah, Minkyu Park
[SCI(E)] Computer Science and Information Systems, 2014, 11.3: 1055-1069. 0887-4417
This research project was supported by Ministry of Culture, Sports and Tourism (MCST) and from Korea Copyright Commission in 2013, and by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2014-H0301-14-1023) supervised by the NIPA (National IT Industry Promotion Agency)
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10 |
Detection and prevention of LeNa Malware on Android (2013.11.)
Hwantaek Lee, Seongje Cho, Minkyu Park
J. Internet Serv. Inf. Secur., 2013, 3.3/4: 63-71. 2182-2069
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9 |
An Efficient Protection Scheme of Digital Contents under Mobile Devices (2013.10.)
Younsik Jeong, Seongje Cho, Moonju Park, Jeonguk Ko, Hyungjoon Shim, Joonmo Kim, Minkyu Park, Sangchul Han
[SCOPUS] 2013 Research in Adaptive and Convergent Systems. ACM, 2013. p. 306-311.
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8 |
Clssifying Malicious Web pages by Using an Adaptive Support Vector machine (2013.09.)
Youngsup Hwang, Jinbaek Kwon, Jaechan Moon, Seongje Cho
Journal of Information Processing Systems, 2013, 9.3: 395-404. 1976-913X
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Preventing Execution of Unauthorized Applications Using Dynamic Loading and integrity Check on Android Smartphones (2013.08.)
Younsik Jeong, Jaechan Moon, Dongjin Kim, Yeongung Park, Seongje Cho, Minkyu Park
International Information Institute (Tokyo). Information, 2013, 16.8: 5857. 1343-4500
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6 |
Experimentation and Validation of Web Application's Vulnerability Using Security Testing Method (2012.11.)
Taeseung Lee, Giyoun Won, Seongje Cho, Dongho Won, Namje Park
Computer Science and its Applications. Springer, Dordrecht, 2012. p. 723-731. 1876-1100
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5 |
An Android Security Extension to Protect Personal Inform action against Illegal Accesses and Privilege Escalation Attacks (2012.11.)
Yeongung Park, Chanhee Lee, Jonghwa Kim, Jongmoo Choi, Seongje Cho
J. Internet Serv. Inf. Secur., 2012, 2.3/4: 29-42. 2182-2077
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4 |
Efficient Detection of Malicious Web pages Using High-interaction Client Honeypots (2012.09.)
Hongheun Kim, Dongjin Kim, Moonju Park, Seongje Cho
[SCI(E)] Journal of Information Science and Engineering, 2012, 28.5: 911-924. 1016-2364
This work was supported partly by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2011-0026301), and by the National IT Industry Promotion Agency (NIPA) under the program of Software Engineering Technologies Development.
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3 |
Logarithmic Divide-and-Conquer Visitation Algorithm for High-Interaction Client Honeypots (2012.09.)
Honggeun Kim, Dongjin Kim, Moonju Park, Minkyu Park, Seongje Cho
[SCOPUS] International Information Institute (Tokyo). Information, 2012, 15.7: 2937. 1343-4500
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2 |
Integration of Software Protection Mechanisms against Reverse Engineering Attacks (2012.04.)
Jinyoung Lee, Hyeyoung Chan, Seongje Cho, Seongbaeg Kim, Woongchul Choi, Yongsu Park
International Information Institute (Tokyo). Information, 2012, 15.4: 1569. 1343-4500
Study on Convergence Technologies of Static/Dynamic Analysis and Anti-reverse Engineering for Software Assurance, Study on Privacy Protection in the SaaS (Software as a Service) Model
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1 |
Improving responsiveness of soft aperiodic tasks using proportional slack time (2010.09.)
Heeheon Kim, Xuefeng Piao, Sangchul Han, Moonju Park, Minkyu Park, Seongje Cho, Yookun Cho, Heeheoin Kim
[SCI(E)] Computers & Electrical Engineering, 2010, 36.5: 913-926. 0045-7906
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