Sulaiman, NFNFSulaimanJali, MZMZJali2024-05-292024-05-292014WOS:000346752100070https://oarep.usim.edu.my/handle/123456789/10906The unique and complex of Biology Immune System (BIS) gives inspiration to scientists to develop new theory in computational area known as the Artificial Immune System (AIS), and this theory uses by researchers to solve real world problems. This paper aims to understand the BIS with AIS, and later discuss a relationship between them in identifying text 'SPAM' messages. To achieve this, four types of algorithms are explained; namely Immune Network Theory, Negative Selection, Clonal Selection and Danger Theory. This paper is expected to present details explanation about the intersection between BIS and AIS and highlights the use of AIS to identify text 'SPAM' messagesen-USBiology Immune SystemArtificial Immune Systemtext 'SPAM' messagesMobile SpamProceedings Paper405409