A novel approach to filter spam SMSs and Android application
[ X ]
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
SMS 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.
Açıklama
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY
Anahtar Kelimeler
SMS spam filtering, shifted binary patterns, feature extraction, Android
Kaynak
2017 International Artificial Intelligence and Data Processing Symposium (Idap)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
