| Deep abstraction and weighted feature selection for Wi-Fi impersonation detection ME Aminanto, R Choi, HC Tanuwidjaja, PD Yoo, K Kim IEEE Transactions on Information Forensics and Security 13 (3), 621-636, 2017 | 271 | 2017 |
| Network intrusion detection using deep learning: a feature learning approach K Kim, ME Aminanto, HC Tanuwidjaja Springer, 2018 | 116* | 2018 |
| Deep learning in intrusion detection system: An overview E Aminanto, K Kim 2016 International Research Conference on Engineering and Technology (2016 …, 2016 | 113 | 2016 |
| Detecting impersonation attack in WiFi networks using deep learning approach ME Aminanto, K Kim International workshop on information security applications, 136-147, 2016 | 96 | 2016 |
| Deep learning in intrusion detection perspective: Overview and further challenges K Kim, ME Aminanto 2017 International Workshop on Big Data and Information Security (IWBIS), 5-10, 2017 | 92 | 2017 |
| Threat alert prioritization using isolation forest and stacked auto encoder with day-forward-chaining analysis ME Aminanto, T Ban, R Isawa, T Takahashi, D Inoue IEEE Access 8, 217977-217986, 2020 | 63 | 2020 |
| Improving detection of Wi-Fi impersonation by fully unsupervised deep learning ME Aminanto, K Kim International Workshop on Information Security Applications, 212-223, 2017 | 60 | 2017 |
| Combating threat-alert fatigue with online anomaly detection using isolation forest ME Aminanto, L Zhu, T Ban, R Isawa, T Takahashi, D Inoue International Conference on Neural Information Processing, 756-765, 2019 | 32 | 2019 |
| Another fuzzy anomaly detection system based on ant clustering algorithm ME Aminanto, HJ Kim, KM Kim, K Kim IEICE Transactions on Fundamentals of Electronics, Communications and …, 2017 | 32 | 2017 |
| Deep learning-based feature selection for intrusion detection system in transport layer ME Aminanto, K Kim Proceedings of the Korea Institutes of Information Security and Cryptology …, 2016 | 29 | 2016 |
| Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier ME Aminanto, HC Tanuwidjaja, PD Yoo, K Kim 2017 International Workshop on Big Data and Information Security (IWBIS), 99-104, 2017 | 27 | 2017 |
| Automated threat-alert screening for battling alert fatigue with temporal isolation forest ME Aminanto, L Zhu, T Ban, R Isawa, T Takahashi, D Inoue 2019 17th International Conference on Privacy, Security and Trust (PST), 1-3, 2019 | 25 | 2019 |
| Detecting active attacks in Wi-Fi network by semi-supervised deep learning ME Aminanto, K Kim Conference on information security and cryptography, 2017 | 24 | 2017 |
| Weighted feature selection techniques for detecting impersonation attack in Wi-Fi networks ME Aminanto, H Tanuwidjaja, PD Yoo, K Kim Proc. Symp. Cryptogr. Inf. Secur.(SCIS), 1-8, 2017 | 20 | 2017 |
| Multi-class intrusion detection using two-channel color mapping in IEEE 802.11 wireless network ME Aminanto, RSH Wicaksono, AE Aminanto, HC Tanuwidjaja, L Yola, ... IEEE Access 10, 36791-36801, 2022 | 18 | 2022 |
| Detecting unknown hardware trojans in register transfer level leveraging verilog conditional branching features S Sutikno, SD Putra, F Wijitrisnanto, ME Aminanto IEEE Access 11, 46073-46083, 2023 | 10 | 2023 |
| Two-dimensional projection-based wireless intrusion classification using lightweight EfficientNet ME Aminanto, IR Purbomukti, H Chandra, K Kim Computers, Materials and Continua 72 (3), 5301-5314, 2022 | 10 | 2022 |
| Developing a knowledge management system for supporting flood decision-making A Sulasikin, Y Nugrahat, ME Aminanto, BI Nasution, JI Kanggrawan 2022 IEEE International Smart Cities Conference (ISC2), 1-4, 2022 | 8 | 2022 |
| COVID-19 Mortality Risk Factors Using Survival Analysis: A Case Study of Jakarta, Indonesia BI Nasution, Y Nugraha, NL Prasetya, ME Aminanto, A Sulasikin, ... IEEE Transactions on Computational Social Systems 10 (3), 1150-1159, 2022 | 8 | 2022 |
| Lightweight Machine Learning Prediction Algorithm for Network Attack on Software Defined Network AM Ibrahimy, F Dewanta, ME Aminanto 2022 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 1-6, 2022 | 7 | 2022 |
kwangjo kimProfessor, School of Computing, KAIST/ President, IRCSVerified email at kaist.ac.kr
