[domainrep] Research on Reputation Analysis in Email Systems

Dileepa Jayakody <dileepajayakody@gmail.com> Tue, 21 January 2014 07:03 UTC

Return-Path: <dileepajayakody@gmail.com>
X-Original-To: domainrep@ietfa.amsl.com
Delivered-To: domainrep@ietfa.amsl.com
Received: from localhost (ietfa.amsl.com [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 673201A02A3 for <domainrep@ietfa.amsl.com>; Mon, 20 Jan 2014 23:03:36 -0800 (PST)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -0.1
X-Spam-Level:
X-Spam-Status: No, score=-0.1 tagged_above=-999 required=5 tests=[BAYES_40=-0.001, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, FREEMAIL_FROM=0.001, HTML_MESSAGE=0.001, SPF_PASS=-0.001] autolearn=ham
Received: from mail.ietf.org ([4.31.198.44]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id ZzrYG82InPT9 for <domainrep@ietfa.amsl.com>; Mon, 20 Jan 2014 23:03:35 -0800 (PST)
Received: from mail-qe0-x230.google.com (mail-qe0-x230.google.com [IPv6:2607:f8b0:400d:c02::230]) by ietfa.amsl.com (Postfix) with ESMTP id C8AA31A005A for <domainrep@ietf.org>; Mon, 20 Jan 2014 23:03:34 -0800 (PST)
Received: by mail-qe0-f48.google.com with SMTP id b4so2167866qen.35 for <domainrep@ietf.org>; Mon, 20 Jan 2014 23:03:34 -0800 (PST)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=lhTm3QBmIq21BfIUjB1IoU+3/egHWrvAJu3DN/N3tNA=; b=a0u5mmThPd6BpddrsYhrpopuCMb9c9Tk/L0tpRvu8/gs3Y2FtWO5DSTrWmMySCAOtu 71EMB7tqeg96d/YqntHw51X+rnPZFeaFMx3J08qOW/BP/RFnSZ9Be72UtohTBkyr49q/ ZgBgcNT32nZJef3b5oSkmgXRHM6brqBNBHfX9DefJykZkeBy+zAQReoSrCHZSpJFXNxz ddVetKSW2mLLP4ecEtj2SgMGX0AFPV92QbcW/yFnuAfqqyhUQP+jeoJHcVgigS9UkChN 9FmbD3b1cFxpFC0qU8SZXeqg1Agf4gB+kU9Q8fEogogJNg43ipRl2kvvgEh4nWebgdxp uCgA==
MIME-Version: 1.0
X-Received: by 10.224.135.8 with SMTP id l8mr404057qat.67.1390287814736; Mon, 20 Jan 2014 23:03:34 -0800 (PST)
Received: by 10.224.111.148 with HTTP; Mon, 20 Jan 2014 23:03:34 -0800 (PST)
Date: Tue, 21 Jan 2014 12:33:34 +0530
Message-ID: <CAOOwNCKahMZ7NnxY+RMTs8v3+uswpK505y1xf7cRxAC5SeHJeA@mail.gmail.com>
From: Dileepa Jayakody <dileepajayakody@gmail.com>
To: domainrep@ietf.org
Content-Type: multipart/alternative; boundary="047d7b67355055405e04f0759b68"
Subject: [domainrep] Research on Reputation Analysis in Email Systems
X-BeenThere: domainrep@ietf.org
X-Mailman-Version: 2.1.15
Precedence: list
List-Id: Domain Reputation discussion list <domainrep.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/domainrep>, <mailto:domainrep-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/domainrep/>
List-Post: <mailto:domainrep@ietf.org>
List-Help: <mailto:domainrep-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/domainrep>, <mailto:domainrep-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 21 Jan 2014 07:03:36 -0000

Hi All,

I'm Dileepa Jayakody, a Sri Lankan masters research student doing research
on "Reputation Analysis in Email Systems".
I went through the Repute RFCs (rfc7070,7071,7072,7073) and I find them
highly interesting and relevant to my field of study.

Let me first give you an overview of my project.
I'm aiming to develop an email reputation application platform as an API to
retrieve reputation of emails computed based on the email meta-data
(headers) and content (subject and body). I feel that in order to analyse
the relevance and reputation of a particular email it's necessary to
compute both the identity and the content.  In fact in some spam filter
applications both these techniques are used to filter incoming spams. I
think spam-filtering is just one application of email reputation and there
is so much potential to other application contexts such as user-profiling,
inbox prioritizing, automatic labeling etc. As a demo-application of my
research I'm aiming to develop a priority inbox by considering email's
reputation score computed based on the people involved (identity), topics
discussed, actions required and sentiments.

In the repute working-group, I see that the focus is mainly on
identity-based reputation architecture with reference to existing
architectures like DKIM, SPF etc.  I would like to know if you are also
interested in defining guidelines,techniques to process email content to
retrieve reputation data from email content. I would also appreciate any
pointers to sample applications or PoCs implemented based on the reputation
architecture discussed in this working group.

I highly appreciate any suggestions, pointers to my research and wish to
continue discussing my findings, methodologies with this working group if
you allow me to.

Looking forward to your ideas.

Thanks,
Dileepa