Spam Detection Proposal in Regular and Text-based Image Emails

Issac, Biju and Raman, Valliappan (2007) Spam Detection Proposal in Regular and Text-based Image Emails. In: TENCON 2006 - 2006 IEEE Region 10 Conference, 14th - 17th November 2006, Hong Kong, China.

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Spam emails are invading users without their consent and filling their mail boxes with email trash. Priceless effort and time of the users and organizations are wasted in handling them. To circumvent anti-spam solutions, many spammers are sending spam email with image-only content. In this paper we propose a spam detection approach in emails with text and image contents. In the first part, a novel framework for extracting intelligent information from emails with image content is presented and a prototype implementation is shown. In the second part, a proposal for multi-layered spam detection algorithm is presented, which enhances existing approaches.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: feature extraction, image processing, unsolicited e-mail
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 15 Feb 2019 12:06
Last Modified: 10 Oct 2019 23:46

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