Title: A privatised approach in enhanced spam filtering techniques using TSAS over cloud networks

Authors: P. Mano Paul; I. Diana Jeba Jingle

Addresses: Department of Information Technology, Alliance College of Engineering and Design, Alliance University, Bangalore, India ' Department of Computer Science and Engineering, CHRIST University, Bangalore, India

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.

Keywords: spam detection; abstraction scheme; spam ontology; privatised e-mail spam filtering; cloud networks.

DOI: 10.1504/IJIE.2022.123759

International Journal of Intelligent Enterprise, 2022 Vol.9 No.3, pp.332 - 343

Received: 07 Mar 2019
Accepted: 26 Sep 2019
Published online: 04 Jul 2022 *

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