期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：4
页码：6189
DOI：10.15680/IJIRSET.2017.0604270
出版社：S&S Publications
摘要：As the internet grows cyber security problems also arise with it. Different malicious activitiesare being carried out by the attackers so that they will be able to get the information of the victim. Using thisinformation the attackers performs their illegal activities. Enterprises usually collect terabytes of security-relevantdata, including network traffic, and software application events, among others. However, well establishedtechniques, most of the time, are not scalable and typically produce many false positives when dealing with largeamounts of data, degrading their efficacy. To face these emerging problems, big data analytics has attracted theinterest of the security community. The use of big data frameworks for security solutions presents several benefits,such as the possibility of storing and using large quantities of security data. In this paper we design an architecturein which being built on the top of the Big Data frameworks that aims to mitigate the cyber security problem likephishing. It is being designed such that we are able to detect the phishing emails in a large data set and theinformation collected by the honeypot.
关键词：Spam and Non Spam Emails; cyber security; phishing; spam.
