Open AccessMalay SMS Spam Detection Tool Using Keyword Filtering Technique
Author(s) -
Ellya Izatty Hanif,
Cik Feresa Mohd Foozy,
Isredza Rahmi A. Hamid,
Ramizi Mohamed,
Munirah Mohd Yusof,
Roziah Aziz,
Palaniappan Shamala
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1793/1/012064
Subject(s) - malay , computer science , password , filter (signal processing) , short message service , computer security , computer vision , computer network , philosophy , linguistics
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.