Notice Board :

Call for Paper
Vol. 11 Issue 2

Submission Start Date:
Feb 01, 2019

Acceptence Notification Start:
Feb 10, 2019

Submission End:
Feb 20, 2019

Final MenuScript Due:
Feb 25, 2019

Publication Date:
Feb 28, 2019
                         Notice Board: Call for PaperVol. 11 Issue 2      Submission Start Date: Feb 01, 2019      Acceptence Notification Start: Feb 10, 2019      Submission End: Feb 20, 2019      Final MenuScript Due: Feb 25, 2019      Publication Date: Feb 28, 2019




Volume IX Issue VIII

Author Name
J D Armour
Year Of Publication
2017
Volume and Issue
Volume 9 Issue 8
Abstract
One of the central challenges with computer security is determining the difference between normal and potentially harmful activity.Intrusions, in particular, web based ones, have become increasing threats for important information. The unique features AIS encourage the researchers to employ this techniques in variety of applications and especially in intrusion detection systems. Among the wide range of available approaches, it is always challenging to select the optimal algorithm for intrusion detection. In this paper we compare the performance one of the algorithm of artificial immune system called dendritic cell algorithm based on Dempester belief theory with the dendritic cell algorithm and Support vector machine. In terms of accuracy and computational complexity we observe DCA-BF has a strong detection abilityand good generalization performance.
PaperID
2017/EUSRM/8/2017/44112

Author Name
S Chain
Year Of Publication
2017
Volume and Issue
Volume 9 Issue 8
Abstract
In recent years, the Web has become the primary means for information. The WWW as a huge, widely distributed, global information service centre for news ,advertisement, consumer information. Cache prefetching technique can improve the hit ratio and expedite users visiting speed. Predictive Web prefetching refers to the mechanism of deducing the forth coming page accesses of a client based on its past accesses. In this paper we demonstrate the frequent mining pattern which is obtain on the basis of input and on the basis of that caching and prefetching ratio is calculated. Thus we present a new idea for the interpretation of Web prefetching and web caching from the given usage items .We Found that our approach has much better performance than the other ones, in the quantitative measures such as hit ratios and byte hit ratios of accessed informations.
PaperID
2017/EUSRM/8/2017/44186