Technology detection of spam SMS in mobile phones

Olorunfemi Tope Roseline, Nwulu Nnamdi

Research output: Contribution to journalConference articlepeer-review

Abstract

Spam is unwanted content sent electronically to many users often with the sole aim of causing monetary loss or gaining access to the user's personal information. They can either be sent via email or on mobile phones. The focus in this paper is on intrusion detection of spam Short Message Services (SMS) typically sent over a mobile telephone network. This paper therefore details the development of a mobile-based security tool application using an android studio as the platform with java programming language to detect incoming unsolicited SMSs in mobile phones. The Application (App) termed UJ SMS Antivirus was developed and the functionality was tested and evaluated on android mobile phones. Result shows that the proposed App is user-friendly, easy to use and can successfully filter spam SMS's.

Original languageEnglish
Pages (from-to)2376-2384
Number of pages9
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018
Issue numberSEP
Publication statusPublished - 2018
Event3rd North American IEOM Conference. IEOM 2018 -
Duration: 27 Sept 201829 Sept 2018

Keywords

  • Detection
  • Mobile App
  • Mobile phones
  • Spam and SMS

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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