Tunctan, OzayKaya, Yilmaz2024-12-242024-12-242017978-1-5386-1880-6https://hdl.handle.net/20.500.12604/57432017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYSMS is one of the most widely used service of mobile communication. However, an important part of this communication consists of unwanted messages called spam. In this study, a new approach for SMS spam filtering and an Android application of this approach is presented and developed. In this method, spam detection is performed based on changes of the UTF-8 values of the characters. The developed approach is tested on two different data sets and 94.64% and 98.85% success rates have been achieved, respectively. The obtained results demonstrate that the developed method can be successfully used.trinfo:eu-repo/semantics/closedAccessSMS spam filteringshifted binary patternsfeature extractionAndroidConference ObjectN/AWOS:000426868700105N/A2-s2.0-85039911906