Detection of Social Media Exploitation via SMS and Camera
Dublin Core
Title
Detection of Social Media Exploitation via SMS and Camera
Subject
Social media exploitation
API
permission
SMS
camera
mobile malwares
mobile phone surveillance feature
Description
Internet users all over the world are highly exposed to social media exploitation, where they are vulnerable to be targeted by this cyber-attack. Furthermore, excessive use of social media leads to Internet Addiction Disorder (IAD). Fortunately, social media exploitation and IAD can be monitored and controlled closely based on user’s mobile phone surveillance features which are camera, SMS, audio, geolocation (GPS) and call log. Hence to overcome these challenges, this paper presents five (5) Application Programming Interfaces (APIs) and four (4) permissions for SMS and camera that are mostly and widely used with the social media applications. These 9 APIs and permissions matched with 2.7% of the APIs and permissions training dataset that are related with SMS and camera. This experiment was conducted by using hybrid analysis, which inclusive of static analysis and dynamic analysis, with 1926 training dataset from Brunswick. These 9 APIs and permissions, if being misused by the attacker, could lead to privacy concerns of a mobile device. The finding from this paper can be used as a guidance and reference for the formation of new mobile malware detection technique and modeling in future.
Creator
Adib Azhar, Mohamad
Mohd Saudi, Madihah
Ahmad, Azuan
Abu Bakar, Azreena
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 04 (2019); pp. 61-79
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2019-04-10
Rights
Copyright (c) 2019 Mohamad Adib Azhar
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Adib Azhar, Mohamad et al., Detection of Social Media Exploitation via SMS and Camera, International Association of Online Engineering (IAOE), Vienna, Austria, 2019, accessed November 23, 2024, https://igi.indrastra.com/items/show/1451