Open AccessDetection of spam using email signatures
Author(s) -
Ekaterina Sharapova,
Ruslan Sharapov
Publication year - 2019
Publication title -
ceur workshop proceedings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.177
H-Index - 52
ISSN - 1613-0073
DOI - 10.18287/1613-0073-2019-2416-165-172
Subject(s) - computer science , signature (topology) , information retrieval , the internet , email authentication , electronic mail , world wide web , computer security , key (lock) , mathematics , geometry , authentication protocol , multi factor authentication
Currently, unwanted emails are actively sent to the Internet. Millions copies of emails are sent simultaneously to various users. Often e-mails undergo minor modifications to complicate the detection of spam. The paper proposes options for determining the signature of e-mails that allow identify letters with the same content and structure. Content signature of the letter includes the basic phrases in the text of the e-mail with the exception of names, numeric codes, suspicious words that are not included in the dictionary. Structure signatures incorporate the same type of e-mails, such as paragraphs, tables, images. The paper shows the results of using signatures to detect e-mail spam.