Detection of Social Media Exploitation via SMS and Camera
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...
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International Association of Online Engineering (IAOE)
2019-04-01
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doaj-5553792338514d55b183553549ae08f52021-09-02T07:06:54ZengInternational Association of Online Engineering (IAOE)International Journal of Interactive Mobile Technologies1865-79232019-04-011304617910.3991/ijim.v13i04.105214373Detection of Social Media Exploitation via SMS and CameraMohamad Adib Azhar0Madihah Mohd Saudi1Azuan Ahmad2Azreena Abu Bakar3Faculty of Science & Technology (FST), Universiti Sains Islam Malaysia (USIM), Nilai, MalaysiaCyberSecurity & Systems Research Unit, Islamic Science Institute (ISI), USIM, Faculty of Science & Technology (FST), Universiti Sains Islam Malaysia (USIM), Nilai, MalaysiaCyberSecurity & Systems Research Unit, Islamic Science Institute (ISI), USIM, Faculty of Science & Technology (FST), Universiti Sains Islam Malaysia (USIM), Nilai, MalaysiaFaculty of Science & Technology (FST), Universiti Sains Islam Malaysia (USIM), Nilai, MalaysiaInternet 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.https://online-journals.org/index.php/i-jim/article/view/10521Social media exploitationAPIpermissionSMScameramobile malwaresmobile phone surveillance feature |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohamad Adib Azhar Madihah Mohd Saudi Azuan Ahmad Azreena Abu Bakar |
spellingShingle |
Mohamad Adib Azhar Madihah Mohd Saudi Azuan Ahmad Azreena Abu Bakar Detection of Social Media Exploitation via SMS and Camera International Journal of Interactive Mobile Technologies Social media exploitation API permission SMS camera mobile malwares mobile phone surveillance feature |
author_facet |
Mohamad Adib Azhar Madihah Mohd Saudi Azuan Ahmad Azreena Abu Bakar |
author_sort |
Mohamad Adib Azhar |
title |
Detection of Social Media Exploitation via SMS and Camera |
title_short |
Detection of Social Media Exploitation via SMS and Camera |
title_full |
Detection of Social Media Exploitation via SMS and Camera |
title_fullStr |
Detection of Social Media Exploitation via SMS and Camera |
title_full_unstemmed |
Detection of Social Media Exploitation via SMS and Camera |
title_sort |
detection of social media exploitation via sms and camera |
publisher |
International Association of Online Engineering (IAOE) |
series |
International Journal of Interactive Mobile Technologies |
issn |
1865-7923 |
publishDate |
2019-04-01 |
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. |
topic |
Social media exploitation API permission SMS camera mobile malwares mobile phone surveillance feature |
url |
https://online-journals.org/index.php/i-jim/article/view/10521 |
work_keys_str_mv |
AT mohamadadibazhar detectionofsocialmediaexploitationviasmsandcamera AT madihahmohdsaudi detectionofsocialmediaexploitationviasmsandcamera AT azuanahmad detectionofsocialmediaexploitationviasmsandcamera AT azreenaabubakar detectionofsocialmediaexploitationviasmsandcamera |
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