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End-to-End DAE-LDPC-OFDM Transceiver with Learned Belief Propagation Decoder for Robust and Power-Efficient Wireless Communication.

Sensors (Basel, Switzerland)·2025
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智能电网物联网的区块链集成安全身份验证框架使用能源意识的共识机制.

Omar Abdullah Saleh1, Mesut Cevik1

  • 1Department of Electrical and Computer Engineering, Altinbas University, 34217 Istanbul, Turkey.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
概括

本研究介绍了使用区块链和深度神经网络的物联网智能电网的安全认证系统. 它将交易速度提高32%,并将能源消耗降低18%,同时提高安全性.

科学领域:

  • 网络安全 网络安全
  • 能源系统 能源系统
  • 计算机科学 计算机科学

背景情况:

  • 将物联网 (IoT) 设备集成到智能电网中,在安全的数据共享,可扩展性和能源效率方面提出了挑战.
  • 传统的共识机制,如工作证明 (PoW),是能源密集型的,对资源有限的物联网设备构成限制.
  • 区块链提供了分散的身份验证,但对于智能电网应用需要有效的共识.

研究的目的:

  • 为支持物联网的智能电网开发一个安全和节能的身份验证系统.
  • 解决传统的共识机制在电力消耗和交易速度方面的局限性.
  • 提高智能电网网络的整体安全性和性能.

主要方法:

  • 实施一种新的身份验证系统,结合区块链,深度神经网络 (DNN) 和能源意识共识机制 (EACM).
  • 基于剩余功率和信任得分的验证器选择,以优化交易确认期间的能源使用.
  • 利用物联网支持的智能电网数据集进行系统模拟和性能评估.

主要成果:

  • 实现了372 TPS的交易速度,比传统方法提高了32%.
  • 证明了98.69%的身份验证准确度,确认延迟为5.9毫秒.
  • 将验证器节点的能耗降低了18%,并检测到98.4%的未经授权的访问尝试.
关键词:
支持物联网的智能电网无线网络是IEEE 802.1111的标准.人工智能 (AI) 是一种人工智能.区块链区块链区块链区块链区块链深度神经网络 (DNN) 是一个深度神经网络.能源效率是指能效的能源效率.能源意识的共识共识网络优化优化 网络优化安全认证安全认证

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结论:

  • 拟议的系统提供了一个安全,快速和节能的解决方案,用于在大规模的实时智能电网物联网环境中进行身份验证.
  • 能源意识的共识机制有效地平衡了物联网设备的性能和功耗.
  • 该系统通过最大限度地降低虚假验收和拒绝率来显著提高安全性,这对于智能电网完整性至关重要.