A Technical Description of Intrusion Detection System in Data Mining
| Author(s) | : | Ankur Awasthi |
| Institution | : | Dept. of Computer Science and Engineering, OPJS University, Dist. Churu , Rajasthan, India |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 281-287 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The World Wide Web (WWW) store, share, and distribute information in the large scale. There is hugenumber of internet users on the web. They are facing several problems like information overload due to the importantand quick growth in the amount of information and the amount of users. As a result, how to offer web users with moreexactly needed information is becoming a critical issue in web applications. Web mining take out appealing pattern orknowledge from web data. A Recommender system is one of the best web usage mining Application which diminishes thedifficulties faced by the users to meet their requirements. It recommends the pages of interest to the user. Data miningapplications are developing continuously in different industries that to provide knowledge which is more hidden thatallow increasing business efficiency and growing businesses. DM approaches assumes a basic part in different domain.IDS play a vital responsibility to keep up our network ensured. DM based IDS can proficiently recover alternatediscovery rate, oversee false alert rate and reduction false expulsions. There are two techniques in IDS such as Anomalyand Misuse Detection for the discovery of intrusion.
Ankur Awasthi, “A Technical Description of Intrusion Detection System in Data Mining”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 281-287, January 2018.
