采用(n, n)秘密共享方案的基于神经网络的组认证

S. K. Narad, P. Chavan
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引用次数: 2

摘要

最近几天,互联网的使用越来越多;身份验证成为通信中最重要的安全服务。考虑到这一点,还需要健壮的安全服务和方案。本文提出了组认证,对同一时间内属于同一组的所有用户进行认证。(n, n)组身份验证方案非常有效,因为它对所有用户(如果他们是组成员)进行身份验证。如果它们是非成员,则可以将其用作预处理,并在识别非成员之前应用身份验证。此外,如果组身份验证中存在的任何用户缺席,则根本不需要对组进行身份验证,因为每个共享被分发给每个用户。利用神经网络实现组认证,得到最佳认证系统。所以黑客要想破解神经网络中的每个神经元就变得很复杂了。基于神经网络的组认证是专门为使用Shamir秘密共享方案执行组活动的应用程序设计的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural network based group authentication using (n, n) secret sharing scheme
In recent days, usage of internet is increasing so; authentication becomes the most important security services for communication purpose. Keeping this into consideration, there is need of robust security services and schemes. This paper proposes Group Authentication authenticates all users at a time belonging to the same group. The (n, n) Group Authentication Scheme is very efficient since it authenticates all users if they are group members. If they are nonmembers, then it may be used as a preprocess and apply authentication before and it identifies the non-members. Also, if any of the users present in group authentication is absent then the group is not authenticated at all, as each share is distributed to each user. It results in best authenticated system as the Group Authentication is implemented with Neural Network. So it becomes complicated for hackers to hack each neuron in a neural network. The Neural Network based group authentication is specially designed for applications performing group activities using Shamir Secret Sharing Scheme.
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