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An immunological-based simulation: A case study of risk concentration for mobile spam context assessment

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dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorZainal K.en_US
dc.contributor.authorJali M.Z.en_US
dc.date.accessioned2024-05-29T01:54:39Z
dc.date.available2024-05-29T01:54:39Z
dc.date.issued2018
dc.description.abstractOver the past two decades, there has been a substantial increase in spam messages that caused critical impact loss. Besides the factor of integration of Internet and mobile technology, this issue is also due to the human's reaction towards spam. This paper presents RiCCA or Risk Concentration for Context Assessment model that performs a risk classification of text spam messages in Short Message Service (SMS) format. The identified risk levels will assist users in anticipating the potential impact of the spam message that they have been receiving. Danger Theory, a prominent theory from Artificial Immune Systems (AIS), inspires the developed model. During the simulation phase, an immunological-based testing lifecycle is applied, with the deployment of the dataset that is shared at UCI Machine Learning Repository and self-collected messages. The performance of the testing revealed a distinctive result, which more than 80% of true positive rate is achieved, employed with two variants algorithm from the Danger Theory; Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). This simulation demonstrated that the Danger Theory as a feasible model to be applied in measuring the risk of spam. The further articulation on how this immunological-based testing lifecycle is applied in computer simulation and adopting mobile spam as the case study is clarified thoroughly. � International Journal on Advanced Science, Engineering and Information Technology.en_US
dc.description.natureFinalen_US
dc.identifier.citationKamahazira Zainal and Mohd Zalisham Jali,"An Immunological-Based Simulation: A Case Study of Risk Concentration for Mobile Spam Context Assessment," International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 3, pp. 732-742, 2018. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.8.3.2719.en_US
dc.identifier.doihttp://dx.doi.org/10.18517/ijaseit.8.3.2719
dc.identifier.epage742
dc.identifier.issn20885334
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85049245218
dc.identifier.spage732
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049245218&partnerID=40&md5=54d1496395964bad114bb1f94ad51160
dc.identifier.urihttp://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2719
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9503
dc.identifier.volume8
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInsight Societyen_US
dc.relation.ispartofInternational Journal on Advanced Science, Engineering and Information Technologyen_US
dc.sourceScopus
dc.subjectDanger theoryen_US
dc.subjectImmunological simulationen_US
dc.subjectInformation retrievalen_US
dc.subjectKnowledge discoveryen_US
dc.subjectMobile spamen_US
dc.subjectRisk classificationen_US
dc.subjectSMS spam messagesen_US
dc.titleAn immunological-based simulation: A case study of risk concentration for mobile spam context assessmenten_US
dc.typeArticleen_US
dspace.entity.typePublication

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