...
首页> 外文期刊>International journal of computer science and network security >Increased Security on Software Defined Network SDN to mitigate attack in Fog Environment Based on Using Artificial Intelligence
【24h】

Increased Security on Software Defined Network SDN to mitigate attack in Fog Environment Based on Using Artificial Intelligence

机译:增加了软件定义网络SDN的安全性,以利用人工智能基于雾环境中的攻击

获取原文
           

摘要

Fog computing is a decentralized cloud infrastructure provides an accurate solution to the trouble of data processing. The most important security requirement of fog technology is service and data availability. One of the most devastating cyber-attack is the Distributed Denial of Service attacks which are the most common and dangerous cyber-attacks, this type of security attack affecting the information integrity and service availability.This paper propose and focus on the development of fog cloud by conducting a contribution study on two different security mechanisms that is SDN with ANNs network algorithm as anomaly-based IDS via merged with a signature-based IDS detection to provide the maximum-security requirements and provide the required machine learning that well supports the fog to define and detect all upcoming and new issue cybersecurity. Moreover, provides the systems with the ability of automatic learning and improves the data and information experience process without being programmed.
机译:雾计算是一个分散的云基础架构,为数据处理的麻烦提供了准确的解决方案。 FOG技术最重要的安全要求是服务和数据可用性。最毁灭性的网络攻击之一是分布式拒绝服务攻击,这是最常见和危险的网络攻击,这种类型的安全攻击影响信息完整性和服务可用性。本文提出并专注于雾云的发展通过对具有ANNS网络算法的两个不同安全机制进行贡献研究,作为基于异常的ID,通过与基于签名的IDS检测为基础的IDS,提供最大安全要求,并提供所需的机器学习,这很好地支持雾定义并检测所有即将到来和新的问题网络安全。此外,提供具有自动学习能力的系统,并在不被编程的情况下提高数据和信息体验过程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号