Proposing a distributed algorithm to finding malevolent entities and improving security in e-commerce environments

Fatemeh Fouladfar
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引用次数: 4

Abstract

In the context of e-commerce, the concept of security involves two areas: hard security and soft security. Hard security includes cryptography, information hiding and other standards, while soft security is associated with the methods which are based on trust. finding malevolent entities or malevolent agents are one of the most important concepts in e-commerce. Thus, sufficient attention should be paid to their security. Since the centralized security management architecture in e-commerce environment and cannot have enough effectiveness nor be implemented, with the aim of overcoming the limitations of centralized architectures, a distributed and dynamic algorithm is proposed to finding malevolent entities and improving security. This algorithm uses a distributed network. The results of this study indicate that the proposed algorithm is capable of finds malevolent entities and improves security in a fast and efficient manner.
提出了一种分布式算法来发现电子商务环境中的恶意实体,提高安全性
在电子商务的背景下,安全的概念涉及两个方面:硬安全和软安全。硬安全包括密码学、信息隐藏等标准,而软安全则与基于信任的方法相关。发现恶意实体或恶意代理是电子商务中最重要的概念之一。因此,对他们的安全应给予足够的重视。针对电子商务环境下中心化的安全管理体系结构无法有效实施的问题,为了克服中心化体系结构的局限性,提出了一种分布式动态算法来发现恶意实体,提高安全性。该算法采用分布式网络。研究结果表明,该算法能够快速有效地发现恶意实体,提高安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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