Data Mining Approaches for Intrusion Detection in Email System Internet-Based

DMCA

Data Mining Approaches for Intrusion Detection in Email System Internet-Based

Cached

Download Links

[conference.iasi.roedu.net]

by Victor-valeriu Patriciu , Liviu Rusu , Iustin Priescu

BibTeX

@MISC{Patriciu_datamining,
    author = {Victor-valeriu Patriciu and Liviu Rusu and Iustin Priescu},
    title = {Data Mining Approaches for Intrusion Detection in Email System Internet-Based},
    year = {}
}

OpenURL

Abstract

As the Internet grows at a phenomenal rate email systems has become a widely used electronic form of communication. Everyday, a large number of people exchange messages in this fast and inexpensive way. With the excitement on electronic commerce growing, the usage of email will increase more exponential. In this paper we present our research in developing general method for intrusion detection in email system Internet-based. The main ideas are to use data mining techniques to discover consistent and useful patterns of email system that can recognize anomalies and known intrusions. Key words: security, data mining, intrusion detection, email system 1

Keyphrases

email system intrusion detection data mining approach phenomenal rate email system general method key word main idea useful pattern data mining internet grows large number electronic commerce growing inexpensive way people exchange message electronic form

DMCA