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Paper Abstract and Keywords
Presentation 2009-03-03 09:20
PrBL: Probabilistic BlackList for E-mail Spammers
Tatsuya Mori (NTT) NS2008-146
Abstract (in Japanese) (See Japanese page) 
(in English) Recent drastic increase in the number of spam messages has caused
significant overload on e-mail delivery systems.
IP reputation services such as DNSBL (DNS BlackList) have been widely
used as an effective way to lower the overhead of e-mail delivery
system by restricting smtp connections based on the reputation listed
in the blacklists.
Since those reputation services require only IP address lookups, they
are the most light-weight and scalable anti-spam solution.
However, these approaches have fundamental limitations, namely,
flexibility, extensibility, locality, and the explicit modeling of
spamicity and legitimacy.

In this work, we attempt to relax the limitations of existing
IP repuration-based approaches by leveraging statistical
technique. Hence, we call our method PrBL (probabilistic blacklist).
The key idea of our approach is to make use of the property of e-mail
senders in terms of geographical and logical network locations, and
the intrinsic signatures derived from the analysis of TCP headers,
which are independent of e-mail content.Machine-learning tool is used to establish the probabilistic
classification of e-mail senders.
We validate the performance of PrBL through the analysis of SMTP logs
collected at an enterprise e-mail server over 4-months of period.
We also show that by tuning the policy parameter, PrBL can establish
much better accuracy (i.e, less false positives), compared to the
widely used DNSBLs.
Keyword (in Japanese) (See Japanese page) 
(in English) spam / spammer / filtering / DNSBL / machine learning / Naive Bayes / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 457, NS2008-146, pp. 15-20, March 2009.
Paper # NS2008-146 
Date of Issue 2009-02-24 (NS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IN NS  
Conference Date 2009-03-03 - 2009-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Zanpamisaki Royal Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General issues 
Paper Information
Registration To NS 
Conference Code 2009-03-IN-NS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) PrBL: Probabilistic BlackList for E-mail Spammers 
Sub Title (in English)  
Keyword(1) spam  
Keyword(2) spammer  
Keyword(3) filtering  
Keyword(4) DNSBL  
Keyword(5) machine learning  
Keyword(6) Naive Bayes  
1st Author's Name Tatsuya Mori  
1st Author's Affiliation Nippon Telegraph & Telephone Corporation (NTT)
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Date Time 2009-03-03 09:20:00 
Presentation Time 20 
Registration for NS 
Paper # IEICE-NS2008-146 
Volume (vol) IEICE-108 
Number (no) no.457 
Page pp.15-20 
#Pages IEICE-6 
Date of Issue IEICE-NS-2009-02-24 

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