Distributed denial of service attacks detection in cloud computing using extreme learning machine

Author(s):  
Gopal Singh Kushwah ◽  
Syed Taqi Ali
Author(s):  
Gopal Singh Kushwah ◽  
Virender Ranga

Cloud computing has now become a part of many businesses. It provides on-demand resources to its users based on pay-as-you-use policy, across the globe. The high availability feature of this technology is affected by distributed denial of service (DDoS) attack, which is a major security issue. In this attack, cloud or network resources are exhausted, resulting in a denial of service for legitimate users. In this chapter, a classification of various types of DDoS attacks has been presented, and techniques for defending these attacks in cloud computing have been discussed. A discussion on challenges and open issues in this area is also given. Finally, a conceptual model based on extreme learning machine has been proposed to defend these attacks.


2017 ◽  
Vol 23 (6) ◽  
pp. 5282-5285
Author(s):  
Aws Naser Jaber ◽  
Mohamad Fadli Zolkipli ◽  
Mazlina Abdul Majid ◽  
Shahid Anwar

Author(s):  
Bhawna Tripathi ◽  
Devesh Katiyar ◽  
Gaurav Goel

<p>The data security is one of the most important themes in the information World. Cloud Computing is a grooving technology and implemented by many companies, but there are many issues and one of them is DDOS. .The DDOS attack is one of the most Threatening attacks in today’s world. This paper introduces about the major problem occur in the security which is known as DDOS attacks The study of this research is to find out the various techniques to prevent these attacks along with their modification techniques and to find out any possible solution.</p>


Sign in / Sign up

Export Citation Format

Share Document