lutein
发表于 2025-3-21 16:06:55
书目名称Networked Digital Technologies, Part II影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0662922<br><br> <br><br>书目名称Networked Digital Technologies, Part II读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0662922<br><br> <br><br>
太空
发表于 2025-3-21 22:52:39
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Derogate
发表于 2025-3-22 00:54:01
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铁塔等
发表于 2025-3-22 04:37:36
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Ardent
发表于 2025-3-22 11:20:04
Rachid BenlamriFast-track conference proceedings.State-of-the-art research.Up-to-date results
badinage
发表于 2025-3-22 12:53:33
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Functional
发表于 2025-3-22 20:18:54
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女歌星
发表于 2025-3-22 23:44:58
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AV-node
发表于 2025-3-23 03:47:36
A Cross Layer Energy Efficient Security Mechanism for Denial of Sleep Attacks on Wireless Sensor Netpose a cross layer energy-efficient security mechanism to protect the network from these attacks. Simulation reveals that our proposal is energy efficient and able to achieve significant performance in term of preventing network nodes from different denial of sleep attacks.
Lineage
发表于 2025-3-23 05:45:44
Detection of Attacks for Restoring Privacy of Users to Improve Mobile Collaborative Learning (MCL) o to restore the privacy of users over MCL but can be implemented with all types of small to large networks. Finally, the paper validates the idea through test bed simulation and compares the findings with other well-known existing techniques.