Integrated Data Mining Approach for Security Alert System
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
The need for automatic detection of deceptive Emails is increasing due to the rapid usage of Email communication in the Internet world. The proposed “Security Alert System” provides a way to identify the future terrorist events and criminal activities. It detects the suspicious Emails indicating future attacks by applying the integrated data mining technique called “Classification based on Predictive Association Rules (CPAR)”. CPAR generates a smaller set of high-quality predictive rules from which best k rules of each class are used to predict the class label of unknown class. This Security Alert System sends an alert Email message to the investigators that helps in analyzing mistrustful Emails and act in time. The CPAR approach achieves a good accuracy for detecting emails containing suspicious content than traditional classification methods. Our experiments show that the accuracy of CPAR is more than the simple associative classifier Apriori.
Authors and Affiliations
Saisudha Dorbala, Dr. Rakesh Nayak
Keywords
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- EP ID EP27901
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