Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15754
Title: A Privatised Approach In Enhanced Spam Filtering Techniques Using TSAS Over Cloud Networks
Authors: Paul, P Mano
Jingle, Diana Jeba
Keywords: Spam Detection
Abstraction Scheme
Spam Ontology
Privatised E-Mail Spam Filtering
Cloud Networks
Issue Date: 18-Apr-2022
Publisher: International Journal of Intelligent Enterprise
Citation: Vol. 9, No. 3; pp. 332-343
Abstract: Major problem over cloud networks is the effect of malicious code that protrudes its own activity without intend of network user in resource sharing. One such activity is the spam-filtering techniques which assumes the data with training and testing sets and also rely on fundamental classification through distribution. A privatised spam filtering approach is a classic problem which automatically recognises user context and incoming mail information relevance. To filter mail contents learning based methods, probabilistic based method trying to improve their accuracy but they cannot attain an improvement in identifying suspicious contents and also in segregating legitimate mail entries. Here a novel representation of structured abstraction scheme (SAS) used to generate abstraction in e-mail process using HTML tag content in e-mail and its algorithm for filtering such process of spam filtering is depicted. In this SAS methodology near duplicate matching process with HTML tag ordering will be processed and newly assigned position ordering were deliberated. The experimental setup shows that there will be a great improvement while filtering spam in accuracy of e-mail content while sharing in cloud networks.
URI: https://doi.org/10.1504/IJIE.2022.123759
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15754
ISSN: 1745-3232
1745-3240
Appears in Collections:Journal Articles

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