Showing results 1 to 6 of 6
Another Fuzzy Anomaly Detection System Based on Ant Clustering Algorithm Aminanto, Muhamad Erza; Kim, Hakju; Kim, Kyung-Min; Kim, Kwangjo, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E100A, no.1, pp.176 - 183, 2017-01 |
Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection Aminanto, Muhamad Erza; Choi, Rakyong; Tanuwidjaja, Harry Chandra; Yoo, Paul D.; Kim, Kwangjo, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.13, no.3, pp.621 - 636, 2018-03 |
Deep learning in intrusion detection perspective: overview and further challenges Kim, Kwangjo; Aminanto, Muhamad Erza, International Workshop on Big Data and Information Security (IWBIS), pp.5 - 10, IEEE, 2017-09-23 |
Multi-Class Intrusion Detection Using Two-Channel Color Mapping in IEEE 802.11 Wireless Network Aminanto, Muhamad Erza; Wicaksono, R. Satrio Hariomurti; Aminanto, Achmad Eriza; Tanuwidjaja, Harry Chandra; Yola, Lin; Kim, Kwangjo, IEEE ACCESS, v.10, pp.36791 - 36801, 2022 |
Two-Dimensional Projection-Based Wireless Intrusion Classification Using Lightweight EfficientNet Aminanto, Muhamad Erza; Purbomukti, Ibnu Rifqi; Chandra, Harry; Kim, Kwangjo, CMC-COMPUTERS MATERIALS & CONTINUA, v.72, no.3, pp.5301 - 5314, 2022 |
Utilizing deep abstraction for higher intrusion-detection in wireless networks = 무선 네트워크에서 침입 탐지 성능 향상을 위한 심층 추상화 기법 연구link Aminanto, Muhamad Erza; Kim, Kwangjo; et al, 한국과학기술원, 2018 |
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