首页> 外文会议>2016 Symposium on Colossal Data Analysis and Networking >A survey on attack detection on cloud using supervised learning techniques
【24h】

A survey on attack detection on cloud using supervised learning techniques

机译:使用监督学习技术的云攻击检测调查

获取原文
获取原文并翻译 | 示例

摘要

Cloud computing has brought a revolution in the field of computing. Apart from the merits of cloud computing, it possesses several demerits also. There are several types of attacks on cloud. All the attacks are focused on a particular layer of cloud architecture. Cloud computing architecture composed of three layers Infrastructure as a service (IaaS), platform as a service (PaaS) and Application as a service (AaaS). If Iaas is vulnerable then all above layers can't be secure. The principal concern of security in Iaas is Virtualization. There are several attacks on virtualization in IaaS layer like attack on VM image sharing. VM isolation violation, insecure VM migration and VM escape. In this paper all such attacks are studied and the solutions are also discussed.
机译:云计算带来了计算领域的一场革命。除了云计算的优点外,它还具有一些缺点。对云的攻击有几种类型。所有攻击都针对特定的云架构层。云计算架构由三层基础架构即服务(IaaS),平台即服务(PaaS)和应用程序即服务(AaaS)组成。如果Iaas易受攻击,则以上所有层都不安全。 Iaas中安全性的主要问题是虚拟化。 IaaS层中有几种针对虚拟化的攻击,例如对VM映像共享的攻击。违反VM隔离,不安全的VM迁移和VM转义。本文研究了所有此类攻击,并讨论了解决方案。

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