NDLI: A forensic analysis solution of the email network based on email contents

Content Provider	IEEE Xplore Digital Library
Author	Lili Xie Yanhua Liu Guolong Chen
Copyright Year	2015
Description	Author affiliation: Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China (Lili Xie; Yanhua Liu; Guolong Chen)
Abstract	Forensics analyses of an email network were more based on the email communication structure, while the email content was seldom considered. In this paper, we propose a forensics analysis method for an email network based on the Latent Dirichlet Allocation topic model and the Centrality algorithm. The method takes into full consideration the email content and the email communication structure. In order to calculate the email communication correlation with the topic of the criminal case, we get the similarity of the email content based on the Latent Dirichlet Allocation model. Combined with the Centrality algorithm, we can obtain the mail accounts that have the greater influence on the email network. Experimental results show that this method can more effectively analyze an email network and find the specific email accounts.
Starting Page	1613
Ending Page	1619
File Size	473786
Page Count	7
File Format	PDF
e-ISBN	9781467376822
DOI	10.1109/FSKD.2015.7382186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis email network analysis Analytical models Correlation email forensics Forensics Centrality Probability LDA Foxmail Electronic mail Personnel
Content Type	Text
Resource Type	Article

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