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Spam campaign detection, analysis, and investigation

  • Published:2015-03 Issue: Volume:12 Page:S12-S21
  • ISSN:1742-2876
  • Container-title:Digital Investigation
  • language:en
  • Short-container-title:Digital Investigation

Author:

Dinh Son,Azeb Taher,Fortin Francis,Mouheb Djedjiga,Debbabi Mourad

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Reference43 articles.

1. Spamscatter: characterizing internet scam hosting infrastructure;Anderson,2007

2. Improved phishing detection using model-based features;Bergholz,2008

3. New filtering approaches for phishing email;Bergholz;J Comput Secur,2010

4. Syntactic clustering of the web;Broder;Comput Netw ISDN Syst,1997

5. A campaign-based characterization of spamming strategies;Calais,2008

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1. DFRWS EU 10-year review and future directions in Digital Forensic Research;Forensic Science International: Digital Investigation;2024-03

2. Bio inspired email spam detection: A quantitative investigation;AIP Conference Proceedings;2024

3. Machine Learning Approaches for Text Mining and Spam E-mail Filtering: Industry 4.0 Perspective;Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications;2023-08-14

4. Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach;Applied Soft Computing;2023-05

5. A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security;Computers & Security;2023-05
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