Publication:
Implementing an Agent-based Multi-Natural Language Anti-Spam Model

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dc.citedby33
dc.contributor.authorMohammed M.A.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorMustafa A.en_US
dc.contributor.authorGhani M.K.A.en_US
dc.contributor.authorid57192089894en_US
dc.contributor.authorid55652730500en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid57200530694en_US
dc.contributor.authorid24491611800en_US
dc.date.accessioned2023-05-29T06:50:10Z
dc.date.available2023-05-29T06:50:10Z
dc.date.issued2018
dc.descriptionElectronic mail; Information filtering; Learning systems; Robotics; Software agents; Visual languages; Anti spam technology; Blocking mechanisms; Business and management; JADE agent platforms; Natural languages; Security and privacy; spam; Visual information; Multi agent systemsen_US
dc.description.abstractThe spam is a negative practice of illegitimate use to the email services through unsolicited email such as phishing for scam practices which affects the email reliability. Spam problems and its influence on the society have been investigated and discussed from different perspectives. Several studies have looked into the influence of the spam on the economy, financial, marketing, business and management, while others deliberate the impact of the spam on the security and privacy. Subsequently, there are different anti-spam techniques that have spam filtering or blocking mechanisms. This work attempts to investigate an available anti-spam technology and highlight the possible improvements. Consequently, it constructs a new agent-based anti-spam model that can overcome some existing limitations. The Multi-Natural Language Anti-Spam (MNLAS) model comprises visual information, and texts of an email in the spam filtering process. The MNLAS is implemented in a Java environment using Jade agent platform. The application detects and filters spam emails of different types using a dataset of 200 emails. � 2018 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8540555
dc.identifier.doi10.1109/ISAMSR.2018.8540555
dc.identifier.scopus2-s2.0-85059771560
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059771560&doi=10.1109%2fISAMSR.2018.8540555&partnerID=40&md5=77a2ba92b7802e902ab4c878c604e227
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23544
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleInternational Symposium on Agents, Multi-Agent Systems and Robotics 2018, ISAMSR 2018
dc.titleImplementing an Agent-based Multi-Natural Language Anti-Spam Modelen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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