Enhancement of Security in Connection establishment for IoT Infrastructure through Adversarial Neural Cryptography using GANs

Basil Hanafi, M. Bokhari
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Abstract

. As we are moving ahead in this Digital Age of Information, the need for fortification for Digital Assets and Data is also increasing day by day. Soon, in the near future, we will be able to see everything connected and controlled by a single large-scale network called the Internet. This whole infrastructure of connected various machines is coined with a term called the Internet of Things. With this versatile connection of Devices, Sensors, and machines, every digital asset an Individual can own will be at risk. The Increase in number of Assets will lead to increase in the number of Threats and Vulnerabilities which will result in a catastrophic future. To avoid such situations, we are in need of some dynamic strategies that can help individuals to protect themselves from such threats. Here we will be discussing, how these assets can be protected in an IoT environment by implementing Security through Adversarial Neural Cryptography using Generative Adversarial Networks. Fortification of this Cryptographic technique is giving momentous results when implemented in IoT devices during establishing connections, without human interference.
利用gan的对抗神经密码增强物联网基础设施连接建立的安全性
。随着我们在这个数字信息时代的发展,对数字资产和数据的需求也日益增加。很快,在不久的将来,我们将能够看到所有的东西都被一个叫做互联网的大型网络连接和控制。连接各种机器的整个基础设施被称为物联网。随着设备、传感器和机器的这种多功能连接,个人拥有的每一项数字资产都将处于危险之中。资产数量的增加将导致威胁和漏洞数量的增加,这将导致灾难性的未来。为了避免这种情况,我们需要一些动态的策略来帮助个人保护自己免受这种威胁。在这里,我们将讨论如何通过使用生成对抗网络的对抗性神经密码学实现安全性来保护这些资产。在建立连接期间在物联网设备中实施这种加密技术的强化,在没有人为干扰的情况下,会产生重大结果。
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