مورد إلكتروني
Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis
| العنوان: | Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis |
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| بيانات النشر: | IEEE 2023-03-17 |
| تفاصيل مُضافة: | Mitsuhashi, Rikima Jin, Yong Iida, Katsuyoshi Shinagawa, Takahiro Takai, Yoshiaki |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC). 08-11 January 2023. Las Vegas, NV, USA. |
| مصطلحات الفهرس: | 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, 007, proceedings (author version) |
| URL: | |
| الإتاحة: | Open access content. Open access content © 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. |
| ملاحظة: | English |
| أرقام أخرى: | YX@ oai:eprints.lib.hokudai.ac.jp:2115/88595 978-1-6654-9734-3 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 20. 08-11 January 2023, Las Vegas, NV 1401082962 |
| المصدر المساهم: | HOKKAIDO UNIV From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1401082962 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |