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Deep Learning-Based Fast Security Detection Method for Cross-Domain Access Behaviors in IPv6 Networks.

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Bibliographic Details
Title: Deep Learning-Based Fast Security Detection Method for Cross-Domain Access Behaviors in IPv6 Networks.
Authors: Qu, Jiewu1, ford.qu@163.com, Yang, Yang2, yyang09@pipechina.com.cn, Gao, Ling1, gaolingbnu@foxmail.com, Wang, Li3, pipechina_wl@163.com
Source: Journal of Circuits, Systems & Computers; 10/1/2026, Vol. 35 Issue 17, p1-23, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194092374
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Deep Learning-Based Fast Security Detection Method for Cross-Domain Access Behaviors in IPv6 Networks.
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  Data: <searchLink fieldCode="AU" term="%22Qu%2C+Jiewu%22">Qu, Jiewu</searchLink><relatesTo>1</relatesTo>, <i>ford.qu@163.com</i><br /><searchLink fieldCode="AU" term="%22Yang%2C+Yang%22">Yang, Yang</searchLink><relatesTo>2</relatesTo>, <i>yyang09@pipechina.com.cn</i><br /><searchLink fieldCode="AU" term="%22Gao%2C+Ling%22">Gao, Ling</searchLink><relatesTo>1</relatesTo>, <i>gaolingbnu@foxmail.com</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Li%22">Wang, Li</searchLink><relatesTo>3</relatesTo>, <i>pipechina_wl@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Circuits%2C+Systems+%26+Computers%22">Journal of Circuits, Systems & Computers</searchLink>; 10/1/2026, Vol. 35 Issue 17, p1-23, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194092374
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1142/S0218126626501343
    Languages:
      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: Deep Learning-Based Fast Security Detection Method for Cross-Domain Access Behaviors in IPv6 Networks.
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            NameFull: Qu, Jiewu
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            NameFull: Yang, Yang
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            NameFull: Gao, Ling
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            – D: 01
              M: 10
              Text: 10/1/2026
              Type: published
              Y: 2026
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              Value: 35
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              Value: 17
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            – TitleFull: Journal of Circuits, Systems & Computers
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