مورد إلكتروني

Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis

التفاصيل البيبلوغرافية
العنوان: Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis
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: http://hdl.handle.net/2115/88595Test
https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/88595/2/paper_CCNC2023_20221111_camera_ready.pdfTest
https://doi.org/10.1109/CCNC51644.2023.10059835Test
http://hdl.handle.net/2115/86574Test
https://doi.org/10.1109/CCNC51644.2023.10059835Test
http://hdl.handle.net/2115/86574Test
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