Cognitive information-based SMS spam detection and filtering of transliterated messages
by Priyam Paul; Suheldeep Sarkar; G. Manju
International Journal of Public Sector Performance Management (IJPSPM), Vol. 14, No. 2, 2024

Abstract: SMS spam has seen an exponential increase in the past few years. This is a pain for mobile users, since any important message often gets lost in the pile of spam messages. SMS spam detection is at a very nascent stage when it comes to implementing in user devices, although there has been research in the field for a long time. We have carried out a survey of the work that has been done in the field of SMS spam filtering, and we have identified certain features which give high accuracy when classifying SMS spam pertaining to cognitive information.

Online publication date: Fri, 23-Aug-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Public Sector Performance Management (IJPSPM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com