Digital evidence discovery of networked multimedia smart devices based on social networking activities

Chu, Hai-Cheng; Yang, Szu-Wei; Hsu, Ching‐Hsien; Park, Jong Hyuk

doi:10.1007/s11042-012-1349-9

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Mutawa et al (2012) and Awan (2015) were able to get different social network usernames/passwords, contact lists, and some related activities with their timestamps from the internal memory of a smartphone. H. Chu et al (2014) managed to track the user geolocation coordinates with timestamps related to a facebook account from a PDA device. Cahyani et al (2016) spotted the files and extracted sender-receiver information from cloud apps in mobile devices.…”

Section: Discussionmentioning

confidence: 99%

“…Hence, it is studied in a variety of contexts: collecting and creating new data representations from different data sources by crawling different websites (Huber, Mulazzani, Leithner, et al, 2011) or tracking the logs in system files (Turnbull & Randhawa, 2015). Due to the common usage of mobile devices for social network access, mobile devices have also been studied for recovering traces of data for various activities (Mutawa et al, 2012;H. Chu et al, 2014;Awan, 2015;Norouzizadeh Dezfouli et al, 2016;Cahyani et al, 2016).…”

Section: Data Tracing For Forensicsmentioning

confidence: 99%

“…Usernames, passwords, and the list of shared files shared could be extracted. Finally, H. Chu et al (2014) worked in different environments and extracted geo-location info recorded by Google Maps and Facebook application from a personal digital assistant (PDA) device. Data are gathered from the image of the memory while the device is on.…”

Section: Searching Traces Of Datamentioning

confidence: 99%

See 2 more Smart Citations

A Survey of Social Network Forensics

Karabiyik¹,

Canbaz²,

Aksoy³

et al. 2016

JDFSL

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Social networks in any form, specifically online social networks (OSNs), are becoming a part of our everyday life in this new millennium especially with the advanced and simple communication technologies through easily accessible devices such as smartphones and tablets. The data generated through the use of these technologies need to be analyzed for forensic purposes when criminal and terrorist activities are involved. In order to deal with the forensic implications of social networks, current research on both digital forensics and social networks need to be incorporated and understood. This will help digital forensics investigators to predict, detect and even prevent any criminal activities in different forms. It will also help researchers to develop new models/techniques in the future. This paper provides literature review of the social network forensics methods, models, and techniques in order to provide an overview to the researchers for their future works as well as the law enforcement investigators for their investigations when crimes are committed in the cyber space. It also provides awareness and defense methods for OSN users in order to protect them against to social attacks.

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Section: Discussionmentioning

confidence: 99%

Section: Data Tracing For Forensicsmentioning

confidence: 99%

Section: Searching Traces Of Datamentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Social Network Forensics

Karabiyik¹,

Canbaz²,

Aksoy³

et al. 2016

JDFSL

View full text Add to dashboard Cite

show abstract

“…Chu et al (19) examined the Facebook app and recovered locations of the users and the email ids of the last five users who logged in to their accounts using the same smart phone.…”

Section: Related Workmentioning

confidence: 99%

Forensic Taxonomy of Android Social Apps

Azfar

Choo

Liu

2016

Journal of Forensic Sciences

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An Android social app taxonomy incorporating artifacts that are of forensic interest will enable users and forensic investigators to identify the personally identifiable information (PII) stored by the apps. In this study, 30 popular Android social apps were examined. Artifacts of forensic interest (e.g., contacts lists, chronology of messages, and timestamp of an added contact) were recovered. In addition, images were located, and Facebook token strings used to tie account identities and gain access to information entered into Facebook by a user were identified. Based on the findings, a two-dimensional taxonomy of the forensic artifacts of the social apps is proposed. A comparative summary of existing forensic taxonomies of different categories of Android apps, designed to facilitate timely collection and analysis of evidentiary materials from Android devices, is presented.

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Snapchat Analysis to Discover Digital Forensic Artifacts on Android Smartphone

Alyahya

Kausar

2017

Procedia Computer Science

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Digital evidence discovery of networked multimedia smart devices based on social networking activities

Cited by 4 publications

References 14 publications

A Survey of Social Network Forensics

A Survey of Social Network Forensics

Forensic Taxonomy of Android Social Apps

Snapchat Analysis to Discover Digital Forensic Artifacts on Android Smartphone

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