Spam Detection Approaches and Strategies: A Phenomenon
Balogun Abiodun Kamoru, Azmi Bin Jaafar, Masrah Azrifah Azmi Murad, Ezema Onyeka Ernest and Marzanah Binti A Jabar. Spam Detection Approaches and Strategies: A Phenomenon. International Journal of Applied Information Systems 12(9):13-18, December 2017. URL, DOI BibTeX
@article{10.5120/ijais2017451728, author = "Balogun Abiodun Kamoru and Azmi Bin Jaafar and Masrah Azrifah Azmi Murad and Ezema Onyeka Ernest and Marzanah Binti A. Jabar", title = "Spam Detection Approaches and Strategies: A Phenomenon", journal = "International Journal of Applied Information Systems", issue_date = "December 2017", volume = 12, number = 9, month = "Dec", year = 2017, issn = "2249-0868", pages = "13-18", url = "http://www.ijais.org/archives/volume12/number9/1014-2017451728", doi = "10.5120/ijais2017451728", publisher = "Foundation of Computer Science (FCS), NY, USA", address = "New York, USA" }
Abstract
The massive increase of spam is posing a very dangerous and serious threat to our email and social networks. It is pertinent and imperative to step up the spam detection approach and strategies in email and social networks. In recent years online spam has become a major problem for the sustainability of the internet globally, Excessive amounts of spam are not only reducing the quality of information available on the email and social networks but also creating concern among the users of email and various social networks.
This paper aims to analyze existing research works in spam detection strategies and approaches, state of art, the phenomenon of spam detection, to explore the rudiment of spam detection, to proposed detection scheme and potential online mitigation schemes. The paper will surveys various anti spam strategies for email and social networking. In the literature we have studied that many anti spam strategies have been discovered and work on but they are still open challenges to these different approaches and techniques, while some of them are highlighted in this articles. It is very important to work on spam detection and reposition it for the better of the world.
Reference
- Bowman, M., Debray, S. K., and Peterson, L. L. 1993. Reasoning about naming systems. .
- Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
- Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
- Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX95-09398., University of Washington.
- Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
- Brown, L. D., Hua, H., and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
- Y.T. Yu, M.F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
- Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender.
Keywords
Spam Detection, Anti-Spam Strategies, Spam Mitigation, Spam Detection Scheme