期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：10
页码：31-42
DOI：10.14257/ijseia.2016.10.10.04
出版社：SERSC
摘要：In modern society, email is at the heart of communications in businesses. Its own simplicity of usage and low cost compared to other means of communications leave workers highly replying on it by using them for a variety of purposes from informal communications to exchanges of confidential information. However, possibly due to such trend of usage, a lot of problematic cases have occurred where a business’s security got in trouble by a worker’s careless email use. This study introduces a method to help detect such problematic and careless email use based on analyzing actual enterprise email data. It is designed to help discover email messages that have replies from someone but possibly asked no reply, which is the case we suggest can be a clue to the writer’s carelessness. The method involves building document vectors through a basic bag-of-words model and Word2Vec, which is a state-of-the-art method to create document vectors out of text documents. For an experiment of classifying email messages to find likely careless email messages, Enron email dataset was utilized to be input to the system we made. What the experiment results produce is a list of email messages to be watched before other email messages for the purpose of finding careless email messages.
关键词：email; big data; careless activity detection; security; word2vec; doc2vec
