Detecting false messages in the smartphone fault reporting system

Sharmiladevi Rajoo, Pritheega Magalingam, Ganthan Narayana Samy, Nurazean Maarop, Norbik Bashah Idris, Bharanidharan Shanmugam, Sundaresan Perumal

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

Abstract

The emergence of the Internet of Things (IoT) in Smart City allows mobile application developers to develop reporting services with an aim for local citizens to interact with municipalities regarding city issues in an efficient manner. However, the credibility of the messages sent rise as a great challenge when users intentionally send false reports through the application. In this research, an evidence detection framework is developed and divided into three parts that are a data source, IoT device’s false text classification engine and output. Text-oriented digital evidence from an IoT mobile reporting service is analyzed to identify suitable text classifier and to build this framework. The Agile model that consists of define, design, build and test is used for the development of the false text classification engine. Focus given on text-based data that does not include encrypted messages. Our proposed framework able to achieve 97% of accuracy and showed the highest detection rate using SVM compared to other classifiers. The result shows that the proposed framework is able to aid digital forensic evidence experts in their initial investigation on detecting false report of a mobile reporting service application in the IoT environment.

Original languageEnglish
Title of host publicationEmerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing
EditorsFaisal Saeed, Fathey Mohammed, Nadhmi Gazem
PublisherSpringer Nature
Pages759-768
Number of pages10
ISBN (Print)9783030335816
DOIs
Publication statusPublished - 2020
Event4th International Conference of Reliable Information and Communication Technology, IRICT 2019 - Johor Bahru, Malaysia
Duration: 22 Sep 201923 Sep 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1073
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th International Conference of Reliable Information and Communication Technology, IRICT 2019
CountryMalaysia
CityJohor Bahru
Period22/09/1923/09/19

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  • Cite this

    Rajoo, S., Magalingam, P., Samy, G. N., Maarop, N., Idris, N. B., Shanmugam, B., & Perumal, S. (2020). Detecting false messages in the smartphone fault reporting system. In F. Saeed, F. Mohammed, & N. Gazem (Eds.), Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing (pp. 759-768). (Advances in Intelligent Systems and Computing; Vol. 1073). Springer Nature. https://doi.org/10.1007/978-3-030-33582-3_71