FAD
发表于 2025-3-21 18:26:20
书目名称Intelligence and Security Informatics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469299<br><br> <br><br>书目名称Intelligence and Security Informatics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469299<br><br> <br><br>
流眼泪
发表于 2025-3-21 21:00:56
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Pander
发表于 2025-3-22 02:15:12
Intelligence and Security Informatics978-3-642-30428-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
格言
发表于 2025-3-22 04:37:28
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打谷工具
发表于 2025-3-22 10:57:06
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469299.jpg
即席演说
发表于 2025-3-22 14:18:33
Cloud-Centric Assured Information Sharingt implementation of a centralized cloud-based assured information sharing system and the design of a decentralized hybrid cloud-based assured information sharing system of the future. Our goal is for coalition organizations to share information stored in multiple clouds and enforce appropriate policies.
NAUT
发表于 2025-3-22 20:52:32
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Semblance
发表于 2025-3-22 22:29:36
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无瑕疵
发表于 2025-3-23 03:26:33
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LAP
发表于 2025-3-23 07:43:19
Securing Advanced Metering Infrastructure Using Intrusion Detection System with Data Stream Miningrators, and central system (AMI headend). For detecting anomaly, we use data stream mining approach on the public KDD CUP 1999 data set for analysis the requirement of the three components in AMI. From our result and analysis, it shows stream data mining technique shows promising potential for solving security issues in AMI.