Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/125425
Title: Strategies and Algorithms for the Effective Control of Email Spam
Researcher: Manjusha, K
Guide(s): Banerjee, Rahul
Keywords: Computer Science, ALGORITHMS, Email, Mail
University: Birla Institute of Technology and Science
Completed Date: 18/07/2015
Abstract: The thesis, presented here, is aimed at identifying different strategies and algorithms for the effective control of E-mail spam. The volume of spam has been increasing significantly over last few decades and therefore there is an urgent need to address the E-mail spam problem. As a part of this work, various impacts of spam mails on organizations and individuals were identified and duly analysed. Consequently, existing technologies, solutions and approaches were duly examined as part of a thorough literature analysis carried out in the processes. As part of this phase of work, various anti-spam techniques were identified and classified. Some of these involve list-based filters, cost-based filters, content-based filters, IP-based filters, etc. Based on this review, research gaps were identified before defining the problem statement. newlineE-mail spam problem has been defined, in the presented work, as a text classification problem, but in the specific context of typical Internet E-mail generation, relaying, receipt and processing. The choice was made in favour of select machine learning algorithms for spam mail classification.
Pagination: 
URI: http://hdl.handle.net/10603/125425
Appears in Departments:Computer Science & Information Systems

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