scholarly journals Forensic Analysis of Popular Social Media Applications on Android Smartphones

Author(s):  
Fatma GÜNEŞ ERİŞ ◽  
Erhan AKBAL
2012 ◽  
Vol 4 (4) ◽  
pp. 15-30 ◽  
Author(s):  
John Haggerty ◽  
Mark C. Casson ◽  
Sheryllynne Haggerty ◽  
Mark J. Taylor

The increasing use of social media, applications or platforms that allow users to interact online, ensures that this environment will provide a useful source of evidence for the forensics examiner. Current tools for the examination of digital evidence find this data problematic as they are not designed for the collection and analysis of online data. Therefore, this paper presents a framework for the forensic analysis of user interaction with social media. In particular, it presents an inter-disciplinary approach for the quantitative analysis of user engagement to identify relational and temporal dimensions of evidence relevant to an investigation. This framework enables the analysis of large data sets from which a (much smaller) group of individuals of interest can be identified. In this way, it may be used to support the identification of individuals who might be ‘instigators’ of a criminal event orchestrated via social media, or a means of potentially identifying those who might be involved in the ‘peaks’ of activity. In order to demonstrate the applicability of the framework, this paper applies it to a case study of actors posting to a social media Web site.


Author(s):  
John Haggerty ◽  
Mark C. Casson ◽  
Sheryllynne Haggerty ◽  
Mark J. Taylor

The increasing use of social media, applications or platforms that allow users to interact online, ensures that this environment will provide a useful source of evidence for the forensics examiner. Current tools for the examination of digital evidence find this data problematic as they are not designed for the collection and analysis of online data. Therefore, this paper presents a framework for the forensic analysis of user interaction with social media. In particular, it presents an inter-disciplinary approach for the quantitative analysis of user engagement to identify relational and temporal dimensions of evidence relevant to an investigation. This framework enables the analysis of large data sets from which a (much smaller) group of individuals of interest can be identified. In this way, it may be used to support the identification of individuals who might be ‘instigators’ of a criminal event orchestrated via social media, or a means of potentially identifying those who might be involved in the ‘peaks’ of activity. In order to demonstrate the applicability of the framework, this paper applies it to a case study of actors posting to a social media Web site.


2019 ◽  
Vol 2 (2) ◽  
pp. 52-56
Author(s):  
Dedy Hariyadi ◽  
Hendro Wijayanto ◽  
Indah Daila Sari

The use of social media in Indonesia has increased very rapidly in 2018 compared to the previous year. This makes a lot of social media made by the children of the nation appear, one of which is Paziim. Socializing on the internet is very easy to leak personal data. There are three aspects that can be utilized on online social networks (OSN) in the disclosure of private data to the public, namely the strength of the relationship (strong or weak), the type of relationship and the characteristics of one's habits. Mobile forensics is needed to analyze digital evidence on social media applications installed on Android smartphones. Indonesia through the National Standardization Agency (BSN) also issued standards related to digital forensics. Standards which are derived from ISO / IEC regulate Security Techniques - Guidelines for the Identification, Collection, Acquisition and Preservation of Digital Evidence. This standardization is known as SNI ISO / IEC 27037: 2014. From the results of cell phone forensic analysis on the Paziim application, the results found the username, coordinates, device models, and operators used by users in SQLite Web_Data and OneSignal.xml files


Author(s):  
Leonardo Sousa Fortes ◽  
Petrus Gantois ◽  
Dalton de Lima-Júnior ◽  
Bruno Teixeira Barbosa ◽  
Maria Elisa Caputo Ferreira ◽  
...  

2019 ◽  
Vol 28 (13) ◽  
pp. 870-877
Author(s):  
Calvin Moorley ◽  
Theresa Chinn

Background: In 2016 the Nursing and Midwifery Council in the UK introduced revalidation, which is the process nurses are required to follow to renew their registration. This provides an opportunity for nurses to shape, develop and evolve social media to meet their professional requirements. Aims: to examine different ways nurses can use social media tools for continuous professional development (CPD) and revalidation. Methods: using a qualitative reflective design, data were gathered from content on the @WeNurses platform and activities organised with other leading health organisations in England. These data were analysed using the social media relationship triangle developed by the authors with a thematic analysis approach. Findings: analysis revealed that social media was used in six categories: publishing, sharing, messaging, discussing, collaborating, and networking. Organised social media events such as: blogs, tweetchats, Twitter storms, webinars, infographics, podcasts, videos and virtual book clubs can support nurses with revalidation and professional development. Conclusion: Through using a participatory CPD approach and embracing professional social media applications nurses have moved social media from the concept of a revolution to an evolution.


2018 ◽  
Vol 29 (2) ◽  
pp. 237-247 ◽  
Author(s):  
Ashley A. Berard ◽  
André P. Smith

Fibromyalgia is a chronic illness with primary symptoms of widespread pain and fatigue. Social media applications have become a recent resource allowing individuals with fibromyalgia to interact in a virtual community devoted to the illness. This study explores how such a community develops and maintains itself on Instagram and the ways it creates social capital for its users. Data are derived from Instagram posts and open-ended questionnaires completed by users living with fibromyalgia who use the application. Using content analysis and semiotic methodology, the study analyzes the diverse ways in which users shared their experiences with fibromyalgia, the management of its symptoms, and issues encountered in accessing health care systems. Instagram aids in the development of a community by facilitating intimate and supportive interactions about the illness and the creation of personalized day-to-day narratives accessible to all. Norms of trust, acceptance, and reciprocity characterize the diversity of interactions in this community.


2018 ◽  
Vol 03 (03) ◽  
pp. 1850003 ◽  
Author(s):  
Jared Oliverio

Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.


Author(s):  
Mazlan Mohd Sappri Et.al

Social media application (SMA) shows several important functions that causing theincrement of usage among mobile application or mobile app users, especially among18 to 28 years-old users. This causing several developers to create their own SMA thathave been targeted to mobile app users. However, only several SMA managed tobecome popular and successful in term of usage, leaving other unpopular SMA in thelower rank of the Google PlayStore. SMA created by developer in Malaysia face thesame situation as mentioned before where those SMA were supposed to attractMalaysian mobile users more. To assess this situation, this study aims to identify thesuccess factors of SMA usage and develop a set of metric based on the success factorsusing research model that have been developed in the past. Information SystemSuccess Model (ISSM) were studied and chosen as the reference model for this studybecause the model is suitable and have been used by other researchers in studiesregarding social media and SMA. ISSM contains several success factors like systemquality, service quality and information quality that affect the user satisfaction and useof a system, where this model were modified in this study with the addition ofnetworking quality and perceive privacy factors. This study were conducted on 380Universiti Utara Malaysia (UUM) students and after analysing the data collected, allproposed success factors except of service quality were found to have a positive impacttowards user satisfaction and usage. The success factors were included in the metricdesign and the metric were presented in an evaluation form for SMA developer inMalaysia to evaluate and applied the metric in their SMA.


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