虚拟环境中的群体智能

Lukás Révay, I. Zelinka
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引用次数: 2

摘要

为了模拟蜂群的某些行为,选择恶意软件作为智能载体。本文描述了目前完全虚拟的解决方案。这让我们有可能干扰环境,看看改进后的恶意软件将如何反应。这种共同的意图提供了与docker映像相关的改进,以及与代码更改相关的架构。网络通信和粒子级协作是该解决方案的关键部分。恶意软件的运动与群体粒子的运动相同,完全符合这一要求。在群算法部分也有重要意义,其中决定使用哪种群算法是至关重要的。本文的研究成果应该是与环境设置、粒子通信、运动和协调相关的部分实践和理论,最终完成通过超文本传输协议(HTTP)到某个服务器的分布式拒绝服务(DDoS)协同攻击。在完成理论工作后,将进行实际仿真,验证蜂群攻击是否能带来预期的效果。这是一篇在知识共享署名许可(http://creativecommons.org/licenses/by/4.0/)条款下发布的开放获取文章,该许可允许在任何媒介上不受限制地使用、分发和复制,只要原始作品被适当引用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Swarm Inteligence in Virtual Environment
To simulate some behavior of swarms, the malware was selected as a carrier of intelligence. This article describes the current solution which is fully virtual. This gives us a possibility to interfere environment and see how the improved malware will react. This common intention provides improvements related to docker images and also architectural that is related to code changes. Communication over network together with cooperation on particle level is a key part of this solution. Malware movements are the same as movements of swarm particles, which fully fit this requirement. Significance is also put on the swarming part, where the decision which swarms algorithm to utilize is crucial. The outcome from this work should be partly practical and theoretical related to environment setup, particles communication, movements and coordination which finally finishes in distributed denial of service (DDoS) coordinated attack via hypertext transfer protocol (HTTP) to some server. After this theoretical work, the practical simulation will be done to see if the swarm attack brings expected results. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
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