Managing DDoS attacks on Virtual Machines by Segregated Policy Management

Security is considered as most crucial aspect in cloud computing. It has attracted lots of research in the recent years. On the other hand, attackers are exploring and exploiting the vulnerabilities in cloud. The heart of the Cloud computing lies in Virtualization technology. Attackers are taking the advantage of vulnerabilities in Virtual Machines and they can able to compromise virtual machines thereby launching DDOS attacks. Services such as Saas,IaaS which are meant to support end users may get affected and attackers may launch attacks either directly or by using zombies. Generally, Data Centres own security policies for dealing with security issues. Suppose incase of DDoS attacks, only the policies which deals with it ,can only been applied. However, in datacenters, all the security policies are commonly been applied on the applications irrespective of their category or security threats that it face. The existing approach consumes lots of time and wastage of resources. In this paper, we have developed an approach to segregate the applications as per the type or threats (by adapting detection mechanisms) being faced . Based on the zone in which it is lying , only the relevant security policies will only be applied. This approach is optimized where we can efficiently reduce the latency associated with applying security policies

Spartan Daily, October 11, 2001

Volume 117, Issue 30https://scholarworks.sjsu.edu/spartandaily/9735/thumbnail.jp

Twinkle: A fast resource provisioning mechanism for internet services

A key benefit of Amazon EC2-style cloud computing service is the ability to instantiate a large number of virtual machines (VMs) on the fly during flash crowd events. Most existing research focuses on the policy decision such as when and where to start a VM for an application. In this paper, we study a different problem: how can the VMs and the applications inside be brought up as quickly as possible? This problem has not been solved satisfactorily in existing cloud services. We develop a fast start technique for cloud applications by restoring previously created VM snapshots of fully initialized application. We propose a set of optimizations, including working set estimation, demand prediction, and free page avoidance, that allow an application to start running with only partially loaded memory, yet without noticeable performance penalty during its subsequent execution. We implement our system, called Twinkle, in the Xen hypervisor and employ the two-dimensional page walks supported by the latest virtualization technology. We use the RUBiS and TPC-W benchmarks to evaluate its performance under flash crowd and failure over scenarios. The results indicate that Twinkle can provision VMs and restore the QoS significantly faster than the current approaches.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000297374700146&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Hardware & ArchitectureComputer Science, Theory & MethodsEngineering, Electrical & ElectronicTelecommunicationsEICPCI-S(ISTP)1

Spartan Daily, May 1, 1992

Volume 98, Issue 64https://scholarworks.sjsu.edu/spartandaily/8277/thumbnail.jp

Spartan Daily October 31, 2011

Volume 137, Issue 34https://scholarworks.sjsu.edu/spartandaily/1088/thumbnail.jp

Spartan Daily, October 17, 1990

Volume 95, Issue 34https://scholarworks.sjsu.edu/spartandaily/8033/thumbnail.jp

Holland City News, Volume 105, Number 21: May 20, 1976

Newspaper published in Holland, Michigan, from 1872-1977, to serve the English-speaking people in Holland, Michigan. Purchased by local Dutch language newspaper, De Grondwet, owner in 1888.https://digitalcommons.hope.edu/hcn_1976/1020/thumbnail.jp