The week's pick
Random Articles
Reseach Article
Enhancing the Rate of Accuracy and Precision in Spam Filtering in Farsi SMS
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 3 - Number 3 |
| Year of Publication: 2015 |
| Authors: Maryam Poorshahsavari, Omid Pourgalehdari |
10.5120/cae2015651906
|
Maryam Poorshahsavari, Omid Pourgalehdari . Enhancing the Rate of Accuracy and Precision in Spam Filtering in Farsi SMS. Communications on Applied Electronics. 3, 3 ( October 2015), 25-27. DOI=10.5120/cae2015651906
Abstract
This paper introduces a technique for increasing the rate of accuracy in spam filtering and reducing the false positive (fp) in Farsi SMS. This technique is based on combination of naïve bayes assumption with an introduced formula to increase the filtering accuracy up to 90%. In order to validate introduced formula and to measure the accuracy, the obtained results have been surveyed by precision-Recall techniques.
References
- Almeida, T. A., Hidalgo, J. M. G., & Yamakami, A. (2011, September). Contributions to the study of SMS spam filtering: new collection and results. In Proceedings of the 11th ACM symposium on Document engineering (pp. 259-262). ACM.
- Delany, S. J., Buckley, M., & Greene, D. (2012). SMS spam filtering: methods and data. Expert Systems with Applications, 39(10), 9899-9908.
- Nuruzzaman, M. T., Lee, C., & Choi, D. (2011, August). Independent and personal SMS spam filtering. In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on (pp. 429-435).
- Alzahrani, A. J., & Ghorbani, A. A. (2014, May). SMS mobile botnet detection using a multi-agent system: research in progress. In Proceedings of the 1st International Workshop on Agents and Cyber Security (p. 2). ACM.
- http://blog.melipayamak.com/posts/look-at-the-history-of-sms-in-the-world/
- Mahmoud, T. M., & Mahfouz, A. M. (2012). SMS spam filtering technique based on artificial immune system. IJCSI International Journal of Computer Science Issues, 9(1).
- Sethi G, Bhootna V ( 2014) “SMS Spam Filtering Application Using Android “International Journal of Computer Science and Information Technologies, Vol. 5 (3) ,(pp 4624-4626) IJCSIT.
- Narayan, A., & Saxena, P. (2013, November). The curse of 140 characters: evaluating the efficacy of SMS spam detection on android. In Proceedings of the Third ACM workshop on Security and privacy in smartphones & mobile devices (pp. 33-42). ACM.
- Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
Index Terms
Keywords