SMS Spam Filtering based on Text Classification and Expert System

被引：0

作者：

Bozan, Yavuz Selim ^{[1
]}

Coban, Onder ^{[1
]}

Ozyer, Gulsah Tumuklu ^{[1
]}

Ozyer, Baris ^{[1
]}

机构：

[1] Ataturk Univ, Bilgisayar Muhendisligi Bolumu, Erzurum, Turkey

来源：

2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年

关键词：

Spam SMS; Bayes; SVM; k-NN; expert systems; mobile system software; android;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Even though short message service(SMS) is gradually being replaced by social network sites' messaging systems, it still is one of the most widely used communication systems. For reasons such as well established e-mail filter systems, cheap SMS bundles and ineffective spam solutions for message services, SMS is one of the services which is widely used by advertising companies. In this study, expert system and data classification methods are proposed for SMS spam problem and a prototype software for Jelly Bean version of Android operating system. SVM, bayesian classification and k-NN classification methods applied and 98.61%, 97.55% and 93.35% successful results were obtained.

引用

页码：2345 / 2348

页数：4

共 50 条

[1] Index-based Online Text Classification for SMS Spam Filtering
Liu, Wuying
Wang, Ting
JOURNAL OF COMPUTERS, 2010, 5 (06) : 844 - 851
[2] Spam Filtering by Semantics-based Text Classification
Hu, Wei
Du, Jinglong
Xing, Yongkang
2016 EIGHTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2016, : 89 - 94
[3] Spam SMS filtering based on text features and supervised machine learning techniques
Muhammad Adeel Abid
Saleem Ullah
Muhammad Abubakar Siddique
Muhammad Faheem Mushtaq
Wajdi Aljedaani
Furqan Rustam
Multimedia Tools and Applications, 2022, 81 : 39853 - 39871
[4] Spam SMS filtering based on text features and supervised machine learning techniques
Abid, Muhammad Adeel
Ullah, Saleem
Siddique, Muhammad Abubakar
Mushtaq, Muhammad Faheem
Aljedaani, Wajdi
Rustam, Furqan
MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (28) : 39853 - 39871
[5] A Bi-Level Text Classification Approach for SMS Spam Filtering and Identifying Priority Messages
Nagwani, Naresh Kumar
INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2017, 14 (04) : 473 - 480
[6] SMS Spam Filtering Based on "Cloud Security"
Wu, Hongli
Jiang, Yonghui
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 2015 - 2019
[7] SMS spam filtering and thread identification using bi-level text classification and clustering techniques
Nagwani, Naresh Kumar
Sharaff, Aakanksha
JOURNAL OF INFORMATION SCIENCE, 2017, 43 (01) : 75 - 87
[8] A Method of SMS Spam Filtering Based on AdaBoost Algorithm
Zhang, Xipeng
Xiong, Gang
Hu, Yuexiang
Zhu, Fenghua
Dong, Xisong
Nyberg, Timo R.
PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 2328 - 2332
[9] Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering
Almeida, Tiago A.
Silva, Tiago P.
Santos, Igor
Gomez Hidalgo, Jose M.
KNOWLEDGE-BASED SYSTEMS, 2016, 108 : 25 - 32
[10] An SMS Spam Filtering System Using Support Vector Machine
Joe, Inwhee
Shim, Hyetaek
FUTURE GENERATION INFORMATION TECHNOLOGY, 2010, 6485 : 577 - 584

← 1 2 3 4 5 →