Malay SMS Spam Detection Tool Using Keyword Filtering Technique

• Published in: Journal of Physics: Conference Series
• Main Author: Hanif E.I.; Foozy C.F.M.; Hamid I.R.A.; Mohamed R.; Yusof M.M.; Aziz R.A.; Shamala P.
• Format: Conference paper
• Language: English
• Published: IOP Publishing Ltd 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103112726&doi=10.1088%2f1742-6596%2f1793%2f1%2f012064&partnerID=40&md5=0cbcb7b77d183d87d7229c7a4f69f73b

Message Service (SMS) Spam is one form of mobile device attack that can affect mobile user's security and privacy. This study developed a Malay SMS Spam detection framework specifically for Malay language. The paper discusses about the spam word detection using keywords filtering technique and security question to enable authorized user reset password when forgot the password. The development of the detection tool is done using the Object Oriented Methodology (OOM). There are four phases in OOM which is Requirement Phase, Analysis Phase, Design Phase and Coding Phase. This detection tool is then further analyzed to evaluate the functionality. This project also compares the existing tool to know the lack of current existing tool. Most of the existing spam tools are capable of identifying English text-based messages but there are close to none to filter the Malay language text-based SMS spam. It is expected that the developed tool is able to detect the SMS spam by using keywords filtering technique in Malay language. © Published under licence by IOP Publishing Ltd.