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<p>Because of features like security, immutability, and decentralization, blockchain (BC) is important to cybersecurity. The development of Internet of Things (IoT) networks has created serious cybersecurity issues and necessitated the use of cutting-edge defenses against new dangers. Multi-Head Attention Bidirectional Long Short Term Memory (MHA-BiLSTM), a Deep Learning (DL) technique, is presented in this paper to improve cybersecurity in an Internet of Things setting. This work includes steps like data storage, encryption, decryption, and cyberattack detection. First, Elliptical Curve Cryptography (ECC) is used to encrypt the data, and Black-Winged Kite (BWK) optimization is used to optimize the ECC's key parameters. The data is stored in the BC following the encryption process. The data is then decrypted using ECC, and the MHA-Bi-LSTM completes the cybersecurity procedure. This model improves its ability to recognize and lessen cyberthreats. The proposed cybersecurity model significantly improved threat detection accuracy, according to analysis. This method offers a scalable, resilient, and cyberattack-proof model for securing IoT networks in real-time applications.</p> Graphical abstract <p></p>

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Blockchain-enabled cybersecurity for IoT using elliptic curve cryptography and black winged kite model

  • 期刊论文

  • 发表日期：

    2025年5月16日

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  • Priyanka Pramod Pawar,
  • F. Fanax Femy,
  • N. Rajkumar,
  • S. Jeevitha,
  • A. Bhuvanesh,
  • Deepak Kumar

摘要

Because of features like security, immutability, and decentralization, blockchain (BC) is important to cybersecurity. The development of Internet of Things (IoT) networks has created serious cybersecurity issues and necessitated the use of cutting-edge defenses against new dangers. Multi-Head Attention Bidirectional Long Short Term Memory (MHA-BiLSTM), a Deep Learning (DL) technique, is presented in this paper to improve cybersecurity in an Internet of Things setting. This work includes steps like data storage, encryption, decryption, and cyberattack detection. First, Elliptical Curve Cryptography (ECC) is used to encrypt the data, and Black-Winged Kite (BWK) optimization is used to optimize the ECC's key parameters. The data is stored in the BC following the encryption process. The data is then decrypted using ECC, and the MHA-Bi-LSTM completes the cybersecurity procedure. This model improves its ability to recognize and lessen cyberthreats. The proposed cybersecurity model significantly improved threat detection accuracy, according to analysis. This method offers a scalable, resilient, and cyberattack-proof model for securing IoT networks in real-time applications.

Graphical abstract