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Detecting Network Anomalies using IP Gray Space Analysis and Preventing from it by using Machine Identification Code
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 34 - Number 4 |
| Year of Publication: 2011 |
| Authors: Sandip S. Patil, Nitin Y. Suryavanshi |
10.5120/4091-5907
|
Sandip S. Patil, Nitin Y. Suryavanshi . Detecting Network Anomalies using IP Gray Space Analysis and Preventing from it by using Machine Identification Code. International Journal of Computer Applications. 34, 4 ( November 2011), 58-63. DOI=10.5120/4091-5907
Abstract
Security with the intranet and internet becomes the very important issue as the total business is going to migrate towards the e-business. Security is not just about keeping people out of your network but also provides access into your network in the way you want to provide it, allowing the people to work together. When we are going to give the access to the outside people there may be the risk of some mischief with the resources of the network. The most important thing is the information of the organization, and the external or the internal persons who are not having the permissions of accessing the information may access the organization information and may harm to the organization In Network Security concern network access control and security assurance is a major issue to secure the private or public network from abnormal user. In this paper we are presenting the design and implementation of HNADP model which is used to detect the anomalies using IP Gray Space analysis and preventing the network from such anomalies using MAC address filtering.
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