Research on Deep Packet Inspection Based on Cloud Computing

Hui Xia

doi:10.4028/www.scientific.net/AMM.427-429.2767

Paper Titles

The Distribution Network Reconfiguration Based on Spatial Data Mining
p.2748

Analysis and Simulation of Concatenating Orthogonal STBC with TCM in Fading Channels
p.2752

Design and Realization of the Positioning System for Workers in Pits Based on ZigBee Technology
p.2756

Analysis on Variance Estimation of Fixed Effects Based on Internet of Things
p.2761

Research on Deep Packet Inspection Based on Cloud Computing
p.2767

Study of the Wireless Sensor Networks Radio Frequency Signal Loss Based on Different Planting Density Corn Environment
p.2771

Research on Asynchronous Parallel Finite Automaton in DPI Based on Cloud Computing
p.2774

A DHT-Based Networking and Addressing Method in the TCP/IP Building Intercom System
p.2778

Research and Implementation of IPSEC Based on TD-LTE System
p.2783

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Research on Deep Packet Inspection Based on Cloud...

Research on Deep Packet Inspection Based on Cloud Computing

Abstract:

Traditional appllications of deep packet inspection technology in the cloud is unscientific and unreasonable.In this paper,an intelligent cloud-cooperation framework of DPI is designed, given characteristics of cloud computing like distributed computing and user configurability. The overall efficiency is improved since it coordinates the configuration intelligently according to diversity of resources in the back end of cloud computing system and provides a scheduler for cooperative processing and defenses of repeated assaults. By comparing our design with traditional framework in virtual cloud computing platform, we prove the advantages of cloud-cooperation framework on space and time performance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

2767-2770

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.2767

Citation:

Cite this paper

Online since:

September 2013

Authors:

Hui Xia

Keywords:

Algorithm (GA), APFA, Cloud-Computing, DPI, XFA

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Cloud Security Alliance, Security guidance for critical areas of focus in cloud computing, 2009, http: /www. cloudsecurityalliance. org.

Google Scholar

[2] M. Yildiz, J. Abawajy, T. Ercan, A. Bernoth, A Layered Security Approach for Cloud Computing Infrastructure,. 10th International Symposium on Pervasive Systems, Algorithms, and Networks (ISPAN), pp.763-767, 14-16 Dec. (2009).

DOI: 10.1109/i-span.2009.157

Google Scholar

[3] W. Cong, W. Qian, R. Kui, L. Wenjing, Ensuring data storage security in Cloud Computing,. 17th International Workshop on Quality of Service, IWQoS, pp.1-9, 13-15 July (2009).

DOI: 10.1109/iwqos.2009.5201385

Google Scholar

[4] J. Youngmin, C. Mokdong, Adaptive security management model in the cloud computing environment,. The 12th International Conference on Advanced Communication Technology(ICACT), pp.1664-1669, 7-10 Feb. (2010).

Google Scholar

[5] H. Shacham and B. Waters, Compact proofs of retrievability, in Proc. of Asiacrypt 2008, vol. 5350, Dec 2008, p.90–107.

DOI: 10.1007/978-3-540-89255-7_7

Google Scholar

[6] S. Kumar, et al, Advanced Algorithms for Fast and Scalable Deep Packet Inspection". In ACM ANCS, 06, San Jose, California, USA, December 3–5, (2006).

Google Scholar

[7] 104th United States Congress, 'Health Insurance Portability and Accountability Act of 1996(HIPPA), ', Online at http: /aspe. hhs. gov/admnsimp/pl104191. htm, 1996, last access: July 16, (2009).

Google Scholar