Managing DDoS attacks on Virtual Machines by Segregated Policy Management

α
E.S.Phalguna Krishna
E.S.Phalguna Krishna
σ
E.Sandhya
E.Sandhya
ρ
M.Ganesh Karthik
M.Ganesh Karthik
α Jawaharlal Nehru Technological University, Hyderabad

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Managing  DDoS attacks on Virtual Machines by Segregated Policy Management

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Abstract

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.

References

6 Cites in Article
  1. Shui Yu,Weijia Jia,Song Guo,Yong Xiang,Feilong Tang (2012). Discriminating DDoS Attacks from Flash Crowds Using Flow Correlation Coefficient.
  2. Ke Li,Wanlei Zhou,Ping Li,Jing Hai,Jianwen Liu (2009). Distinguishing DDoS Attacks from Flash Crowds Using Probability Metrics.
  3. Zhang Fu,Marina Papatriantafilou,Philippas Tsigas (2012). Mitigating Distributed Denial of Service Attacks in Multiparty Applications in the Presence of Clock Drifts.
  4. Xi Ye,Wu Wen,Yi Ye (2011). A Defensive OTP-Based Mechanism against Application Layer DDoS Attacks.
  5. Employing Kad to Mitigate Flash Crowds and Application Layer DDoS Attacks Against Web Servers.
  6. I Ari,B Hong,E Miller,S Brandt,D Long (2004). Managing flash crowds on the Internet.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

E.S.Phalguna Krishna. 2014. \u201cManaging DDoS attacks on Virtual Machines by Segregated Policy Management\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E6): .

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Issue Cover
GJCST Volume 14 Issue E6
Pg. 19- 24
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Version of record

v1.2

Issue date

October 11, 2014

Language
en
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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.

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Managing DDoS attacks on Virtual Machines by Segregated Policy Management

E.S.Phalguna Krishna
E.S.Phalguna Krishna Jawaharlal Nehru Technological University, Hyderabad
E.Sandhya
E.Sandhya
M.Ganesh Karthik
M.Ganesh Karthik

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