Forensic Analysis of Instagram on Android

Alisabeth, Carolin; Pramadi, Yogha Restu

doi:10.1088/1757-899x/1007/1/012116

Cited by 9 publications

(7 citation statements)

References 6 publications

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“…Another research analyzed artifacts from the Instagram application on the Android operating system. 31 In this study, researchers identified Instagram artifacts such as user account information, message exchange documentation, and traces of user-uploaded activity. To dig out potential evidence from Instagram, Dailymotion, LINE, Snapchat, Telegram, TikTok, and YouTube, utilizing various platforms such as Windows, Android, and iOS investigators in the year 2022 conducted a forensic analysis and explored the client-side caches produced as a result of viewing, sharing, and distributing illegal content by utilizing AV(Audio-Visual) content-based services.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They successfully recovered 100% deleted data using Magnet Axiom, and 84% data using the Oxygen tool. Another research analyzed artifacts from the Instagram application on the Android operating system 31 . In this study, researchers identified Instagram artifacts such as user account information, message exchange documentation, and traces of user‐uploaded activity.…”

Section: Literature Reviewmentioning

confidence: 99%

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Toward social media forensics through development of iOS analyzers for evidence collection and analysis

Hyder,

Arshad,

Fatima

2024

Concurrency and Computation

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SummarySocial media usage in mobile phones has increased substantially in recent times, and they are a critically important source of a forensics investigation. In this paper, we have developed Python‐based forensic analyzers that are integrated with the open‐source tool Autopsy. The proposed analyzers find forensic artifacts from the three most widely used social media messaging applications, that is, WhatsApp, Instagram, and Facebook Messenger. This research focuses on finding forensic artifacts stored by these social media applications on an iOS device. These analyzers extract data critical for a forensic investigation such as text messages, media attachments, sender and receiver details, timestamps, contact information, and other related forensics data from the full file system image of iOS devices. These Python‐based plugins extract the required data from the social media applications' databases and present the evidential artifacts in a human‐readable format. We integrated these analyzers into the Autopsy Forensics tool and showcased the gathered evidence so that investigators are capable to analyze the extracted information effortlessly. The data integrity is maintained by converting it into readable form without permanently altering the database format. The results prove that the proposed analyzers can successfully extract and analyze forensics data at a low computational overhead.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Toward social media forensics through development of iOS analyzers for evidence collection and analysis

Hyder,

Arshad,

Fatima

2024

Concurrency and Computation

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“…Many researchers prefer to use virtual machines for several key reasons [30,46,50,53,58,59,106,107,135,136,142,143]. Virtual machines provide a controlled and isolated environment for conducting forensic analysis.…”

Section: Virtualized Environmentsmentioning

confidence: 99%

A Comprehensive Survey on Artifact Recovery from Social Media Platforms: Approaches and Future Research Directions

Gupta,

Oladimeji,

Varol

et al. 2023

Information

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Social media applications have been ubiquitous in modern society, and their usage has grown exponentially over the years. With the widespread adoption of these platforms, social media has evolved into a significant origin of digital evidence in the domain of digital forensics. The increasing utilization of social media has caused an increase in the number of studies focusing on artifact (digital remnants of data) recovery from these platforms. As a result, we aim to present a comprehensive survey of the existing literature from the past 15 years on artifact recovery from social media applications in digital forensics. We analyze various approaches and techniques employed for artifact recovery, structuring our review on well-defined analysis focus categories, which are memory, disk, and network. By scrutinizing the available literature, we determine the trends and commonalities in existing research and further identify gaps in existing literature and areas of opportunity for future research in this field. The survey is expected to provide a valuable resource for academicians, digital forensics professionals, and researchers by enhancing their comprehension of the current state of the art in artifact recovery from social media applications. Additionally, it highlights the need for continued research to keep up with social media’s constantly evolving nature and its consequent impact on digital forensics.

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“…Instagram application leaves behind data on Android that can be recovered to reveal user's account information, message exchanged, documentation and upload activities (Alisabeth and Pramadi, 2020). Another study analysed the Instagram application and found that pictures posted, tags, comments and likes by user can be extracted on Windows 10 and Android platform (Chang and Yen, 2019).…”

Section: Related Workmentioning

confidence: 99%

To sell, or not to sell: social media data-breach in second-hand Android devices

Benrhouma

Alzahrani

Alkhodre

et al. 2021

ICS

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Purpose The purpose of this paper is to investigate the private-data pertaining to the interaction of users with social media applications that can be recovered from second-hand Android devices. Design/methodology/approach This study uses a black-box testing-principles based methodology to develop use-cases that simulate real-world case-scenarios of the activities performed by the users on the social media application. The authors executed these use-cases in a controlled experiment and examined the Android smartphone to recover the private-data pertaining to these use-cases. Findings The results suggest that the social media data recovered from Android devices can reveal a complete timeline of activities performed by the user, identify all the videos watched, uploaded, shared and deleted by the user, disclose the username and user-id of the user, unveil the email addresses used by the user to download the application and share the videos with other users and expose the social network of the user on the platform. Forensic investigators may find this data helpful in investigating crimes such as cyber bullying, racism, blasphemy, vehicle thefts, road accidents and so on. However, this data-breach in Android devices is a threat to user's privacy, identity and profiling in second-hand market. Practical implications Perceived notion of data sanitisation as a result of application removal and factory-reset can have serious implications. Though being helpful to forensic investigators, it leaves the user vulnerable to privacy breach, identity theft, profiling and social network revealing in second-hand market. At the same time, users' sensitivity towards data-breach might compel users to refrain from selling their Android devices in second-hand market and hamper device recycling. Originality/value This study attempts to bridge the literature gap in social media data-breach in second-hand Android devices by experimentally determining the extent of the breach. The findings of this study can help digital forensic investigators in solving crimes such as vehicle theft, road accidents, cybercrimes and so on. It can assist smartphone users to decide whether to sell their smartphones in a second-hand market, and at the same time encourage developers and researchers to design methods of social media data sanitisation.

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Forensic Analysis of Instagram on Android

Cited by 9 publications

References 6 publications

Toward social media forensics through development of iOS analyzers for evidence collection and analysis

Toward social media forensics through development of iOS analyzers for evidence collection and analysis

A Comprehensive Survey on Artifact Recovery from Social Media Platforms: Approaches and Future Research Directions

To sell, or not to sell: social media data-breach in second-hand Android devices

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