NDLI: Clustering Spam Campaigns with Fuzzy Hashing

Please wait, while we are loading the content...

Content Provider	ACM Digital Library
Author	Fontugne, Romain Kato, Akira Chen, Jianxing Fukuda, Kensuke
Abstract	Identifying spamming botnets is essential to defeat spammers and reduce the harm caused by spam emails. The first step to uncover these botnets is the identification of spam campaigns. Simple methods looking for common identifiers in emails, such as URL or email addresses, are inefficient due to the emergence of obfuscation techniques like URL shortening. In this paper we propose a new method based on fuzzy hashing to cluster spam with common goals into the same spam campaign. Fuzzy hashing allows us to identify emails with similar contents even though usual identifiers are obfuscated. Using the proposed method we process a three year long dataset that consists of 540 thousand spam emails. The efficiency of the proposed method is assessed by inspecting the characteristics of the top 100 campaigns found. Finally, we present typical behaviors of the uncovered spam campaigns and the corresponding botnets.
Starting Page	66
Ending Page	73
Page Count	8
File Format	PDF
ISBN	9781450332514
DOI	10.1145/2684793.2684803
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Botnet Clustering Spam
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Clustering Spam Campaigns with Fuzzy Hashing