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 1000060725787 Jin, Yong 1000000332768 Iida, Katsuyoshi 1000040361745 Shinagawa, Takahiro 1000000206707 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, Conference Paper, AM |
URL: | |
الإتاحة: | Open access content. Open access content open access © 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: | application/pdf English |
أرقام أخرى: | JPNII oai:irdb.nii.ac.jp:01364:0005733343 2331-9852 2331-9860 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), , 224-229 1409773896 |
المصدر المساهم: | NATIONAL INST OF INFO From OAIster®, provided by the OCLC Cooperative. |
رقم الانضمام: | edsoai.on1409773896 |
قاعدة البيانات: | OAIster |
الوصف غير متاح. |