当前位置: X-MOL 学术Symmetry › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Towards a Secure Signature Scheme Based on Multimodal Biometric Technology: Application for IOT Blockchain Network
Symmetry ( IF 2.940 ) Pub Date : 2020-10-15 , DOI: 10.3390/sym12101699
Oday A. Hassen , Ansam A. Abdulhussein , Saad M. Darwish , Zulaiha Ali Othman , Sabrina Tiun , Yasmin A. Lotfy

Blockchain technology has been commonly used in the last years in numerous fields, such as transactions documenting and monitoring real assets (house, cash) or intangible assets (copyright, intellectual property). The internet of things (IoT) technology, on the other hand, has become the main driver of the fourth industrial revolution, and is currently utilized in diverse fields of industry. New approaches have been established through improving the authentication methods in the blockchain to address the constraints of scalability and protection in IoT operating environments of distributed blockchain technology by control of a private key. However, these authentication mechanisms do not consider security when applying IoT to the network, as the nature of IoT communication with numerous entities all the time in various locations increases security risks resulting in extreme asset damage. This posed many difficulties in finding harmony between security and scalability. To address this gap, the work suggested in this paper adapts multimodal biometrics to strengthen network security by extracting a private key with high entropy. Additionally, via a whitelist, the suggested scheme evaluates the security score for the IoT system with a blockchain smart contract to guarantee that highly secured applications authenticate easily and restrict compromised devices. Experimental results indicate that our system is existentially unforgeable to an efficient message attack, and therefore, decreases the expansion of infected devices to the network by up to 49 percent relative to traditional schemes.

中文翻译:

基于多模态生物识别技术的安全签名方案:物联网区块链网络的应用

区块链技术在过去几年中已广泛用于许多领域,例如记录和监控实物资产(房屋、现金)或无形资产(版权、知识产权)的交易。另一方面,物联网(IoT)技术已成为第四次工业革命的主要驱动力,目前应用于多个工业领域。通过改进区块链中的身份验证方法建立了新的方法,以通过控制私钥来解决分布式区块链技术在物联网操作环境中的可扩展性和保护性限制。然而,这些认证机制在将物联网应用到网络时并没有考虑安全性,由于物联网在不同地点始终与众多实体通信的性质增加了安全风险,从而导致极端资产损坏。这给在安全性和可扩展性之间找到和谐带来了许多困难。为了解决这一差距,本文建议的工作采用多模态生物识别技术,通过提取具有高熵的私钥来增强网络安全性。此外,通过白名单,建议的方案使用区块链智能合约评估物联网系统的安全评分,以确保高度安全的应用程序轻松进行身份验证并限制受感染的设备。实验结果表明,我们的系统对于有效的消息攻击在存在上是不可伪造的,因此,
更新日期:2020-10-15
down
wechat
bug