Detect and Filter Traffic Attack through Cloud Trace back and Neural Network

被引：0

作者：

Alam, Mansaf ^{[1
]}

Shakil, Kashish Ara ^{[1
]}

Javed, Mohd. Salman ^{[1
]}

Ansari, Manzoor ^{[1
]}

Ambreen ^{[2
]}

机构：

[1] Jamia Millia Islamia, Dept Comp Sci, New Delhi, India

[2] Jamia Millia Islamia, New Delhi, India

来源：

WORLD CONGRESS ON ENGINEERING, WCE 2015, VOL I | 2015年

关键词：

Network security; DDoS; X-DoS; H-DoS; Cloud computing; Trace Back; Black hole; SECURITY ISSUES; MODELS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Cloud computing is one of the major technologies predicted to revolutionize the future of computing world. The concept of delivering IT as a service has several astounding features and advantages. Cloud is an enchanting option for small and medium enterprises to reduce upfront investment, enabling them to use sophisticated business intelligence applications that only large enterprises could previously afford. Cloud computing has huge potential to improve overall productivity and reduce cost. It is a new consumption and delivery model for IT services but its security is still a pitfall. Cloud computing is threatened by several security issues although most of them are already in place but there are still many attacks that need to be taken care of. Out of all the attacks in cloud environment one of the most serious attack to cloud is DDOS attack (H- DoS and X-DoS). This paper tries to find out the root cause for such attacks and suggests particular solutions regarding the same. The proposed solution is based on Cloud TraceBack (CTB) and Network Neural.

引用

页码：535 / 540

页数：6