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Stealthy Denial of Service Strategy in Cloud Computing
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Stealthy Denial of Service Strategy in Cloud Computing

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC03


Project Abstract

STEALTHY DENIAL OF SERVICE STRATEGY

IN CLOUD COMPUTING

 

ABSTRACT

                   In this paper, we propose to solve Denial of Service attacks in Cloud. A strategy to implement stealthy attack patterns, which exhibit a slowly-increasing polymorphic behavior that can evade, or however, greatly delay the techniques proposed in the literature to detect low-rate attacks. A strategy to orchestrate stealthy attack patterns, which exhibit a slowly-increasing-intensity trend designed to inflict the maximum financial cost to the cloud customer, while respecting the job size and the service arrival rate imposed by the detection mechanisms. We describe both how to apply the proposed strategy, and its effects on the target system deployed in the cloud.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Find the effect of Denial of Service attacks.

They aim at minimizing their visibility, and at the same time, they can be as harmful as the brute-force attacks.

PROPOSED CONCEPT:-

Detect low rate attacks.

Prevent Denial of Service attacks in Cloud.

A sophisticated strategy to orchestrate stealthy attack patterns against applications running inthe cloud.

EXISTING TECHNIQUE:-

Ddos detection Technique.

PROPOSED TECHNIQUE:-      

Slowly Increasing Polymorphic Ddos Attack Strategy(SIPDAS)

TECHNIQUE DEFINITION:-

To find and detect the effect of attacks using Ddos Technique. DDoS attack produces an abnormal increase in the FCE of the message traffic. Generally, a long time-scale traffic exhibits the characteristics of trend, period, mutation, and randomness.

TECHNIQUE DEFINITION:-

To Detect low rate attacks and prevent Dos using SIPDAS. We calculate the double auto-correlation (DA) coefficient series and examine the first Nmax elements in such series. If the behavior in the trend component has an evident increasing or declining tendency, then those Nmax values will all exceed a certain threshold.

DRAWBACKS:-

We can’t detect low rate attacks.

Worst-case performance of the target system through specific periodic, pulsing, and low-rate traffic patterns

ADVANTAGES:-

We can detect low rate attacks.

Prevent Dos attacks.

Sophisticated strategy to orchestrate stealthy attack patterns against applications running in the cloud.

 
 
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