Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Review on Artificial Intelligence Techniques for Multilingual SMS Spam Detection Subject The topic of the resource Deep learning; Ham; Machine learning; NLP; Phishing; Smishing; SMS; Spam; Spam detection Description An account of the resource With social networks increased popularity and smartphone technology advancements, Facebook, Twitter, and short text messaging services (SMS) have gained popularity. The availability of these low cost text-based communication services has implicitly increased the intrusion of spam messages. These spam messages have started emerging as an important issue, especially to short-duration mobile users such as aged persons, children, and other less skilled users of mobile phones. Unknowingly or mistakenly clicking the hyperlinks in spam messages or subscribing to advertisements puts them under threat of debiting their money from either the bank account or the balance of the network subscriber. Different approaches have been attempted to detect spam messages in the last decade. Many mobile applications have also evolved for spam detection in English, but still, there is a lack of performance. As English has been completely covered under natural language processing, other regional languages, such as Urdu and Hindi variants, have specific issues detecting spam messages. Mobile users suffer greatly from these issues, especially in multilingual countries like India. Thus, this paper critically reviews the artificial intelligence-based spam detection system. The review lists out the existing systems that use machine and deep learning techniques with their limitations, merits, and demerits. In addition, this paper covers the scope for future enhancements in natural language processing to efficiently prevent spam messages rather than detect spam messages. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Ramanujam E.; Shankar K.; Sharma A. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-1087, pp. 525-536. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-6690-5_40" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-6690-5_40</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184126718&amp;doi=10.1007%2F978-981-99-6690-5_40&amp;partnerID=40&amp;md5=9198e0130c57f870011c868962fd9f9e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184126718&amp;doi=10.1007%2f978-981-99-6690-5_40&amp;partnerID=40&amp;md5=9198e0130c57f870011c868962fd9f9e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981996689-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramanujam E., Computer Science and Engineering, National Institute of Technology Silchar, Assam, Silchar, 788010, India; Shankar K., Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Assam, Silchar, 788010, India; Sharma A., Department of Computer Science and Engineering, Christ (Deemed to be) University, Bengaluru, India