| Title: | Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis |
| Authors: | Mitsuhashi, Rikima Browse this author |
| Jin, Yong Browse this author →KAKEN DB |
| Iida, Katsuyoshi Browse this author →KAKEN DB |
| Shinagawa, Takahiro Browse this author →KAKEN DB |
| Takai, Yoshiaki Browse this author →KAKEN DB |
| Keywords: | Privacy |
| Protocols |
| Machine learning algorithms |
| Operating systems |
| Telecommunication traffic |
| Boosting |
| Malware |
| DNS over HTTPS (DoH) |
| Hierarchical network traffic classification |
| Gradient Boosting Decision Tree (GBDT) |
| Regularized Greedy Forest (RGF) |
| Domain Generation Algorithm (DGA) |
| DGA-based malware |
| Issue Date: | 17-Mar-2023 |
| Publisher: | IEEE |
| Journal Title: | 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) |
| Start Page: | 224 |
| End Page: | 229 |
| Publisher DOI: | 10.1109/CCNC51644.2023.10059835 |
| Description: | 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC). 08-11 January 2023. Las Vegas, NV, USA. |
| Conference Name: | 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) |
| Conference Sequence: | 20 |
| Conference Place: | Las Vegas, NV |
| Rights: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | proceedings (author version) |
| URI: | http://hdl.handle.net/2115/88595 |
| Appears in Collections: | 情報基盤センター (Information Initiative Center) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
