An Android Social App Forensics Adversary Model

Azfar, Abdullah; Choo, Kim‐Kwang Raymond; Liu, Lin

doi:10.1109/hicss.2016.693

Cited by 25 publications

(17 citation statements)

References 17 publications

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“…Instant messaging (IM), such as VoIP apps, are increasingly popular among individuals and business organisations [68], including criminals. To ensure the most effective collection of evidence of relevance, it is important that a practitioner possess an up-to-date understanding of different technologies [69][70][71][72][73][74][75][76][77]. This paper presented the findings from our forensic examination (acquisition and reconstruction of the terrestrial artefacts left by the use) of two popular Windows Store IM apps, namely Facebook and Skype.…”

Section: Discussionmentioning

confidence: 99%

Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies

et al. 2016

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Instant messaging (IM) has changed the way people communicate with each other. However, the interactive and instant nature of these applications (apps) made them an attractive choice for malicious cyber activities such as phishing. The forensic examination of IM apps for modern Windows 8.1 (or later) has been largely unexplored, as the platform is relatively new. In this paper, we seek to determine the data remnants from the use of two popular Windows Store application software for instant messaging, namely Facebook and Skype on a Windows 8.1 client machine. This research contributes to an in-depth understanding of the types of terrestrial artefacts that are likely to remain after the use of instant messaging services and application software on a contemporary Windows operating system. Potential artefacts detected during the research include data relating to the installation or uninstallation of the instant messaging application software, log-in and log-off information, contact lists, conversations, and transferred files.

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Section: Discussionmentioning

confidence: 99%

Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies

et al. 2016

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“…Mobile phones have amplified user connectivity and have been extensively examined, however, frequent updates to Operating Systems (OS) and applications increase the difficulty of maintaining a database of artifacts [20], [21]. Android social applications were found to store identifying information and often archive messages, raising concerns about privacy, [22], [23]. Using Celebrite Universal Forensic Extraction Device (UFED), [24] were able to obtain call logs and messages from Android instant messaging applications WhatsApp and Viber.…”

Section: Background Information and Related Workmentioning

confidence: 99%

Forensic Analysis of Immersive Virtual Reality Social Applications: A Primary Account

Yarramreddy

Gromkowski

Baggili

2018

2018 IEEE Security and Privacy Workshops (SPW)

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Our work presents the primary account for exploring the forensics of immersive Virtual Reality (VR) systems and their social applications. The Social VR applications studied in this work include Bigscreen, Altspace VR, Rec Room and Facebook Spaces. We explored the two most widely adopted consumer VR systems: the HTC Vive and the Oculus Rift. Our tests examined the efficacy of reconstructing evidence from network traffic as well as the systems themselves. The results showed that a significant amount of forensically relevant data such as user names, user profile pictures, events, and system details may be recovered. We anticipate that this work will stimulate future research directions in VR and Augmented Reality (AR) forensics as it is an area that is understudied and needs more attention from the community.

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“…One of the current security trends is focused mainly on the security of smart devices primarily working on the Android operating system. Some of the recent works [10][11][12][13][14][15] show the techniques for preserving security in Android environment. However, security in web applications can not be disregarded as it has a wide existence.…”

Section: Related Workmentioning

confidence: 99%

Neutralizing SQL Injection Attack Using Server Side Code Modification in Web Applications

Dalai

Jena

2017

Security and Communication Networks

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Reports on web application security risks show that SQL injection is the top most vulnerability. The journey of static to dynamic web pages leads to the use of database in web applications. Due to the lack of secure coding techniques, SQL injection vulnerability prevails in a large set of web applications. A successful SQL injection attack imposes a serious threat to the database, web application, and the entire web server. In this article, the authors have proposed a novel method for prevention of SQL injection attack. The classification of SQL injection attacks has been done based on the methods used to exploit this vulnerability. The proposed method proves to be efficient in the context of its ability to prevent all types of SQL injection attacks. Some popular SQL injection attack tools and web application security datasets have been used to validate the model. The results obtained are promising with a high accuracy rate for detection of SQL injection attack.

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An Android Social App Forensics Adversary Model

Cited by 25 publications

References 17 publications

Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies

Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies

Forensic Analysis of Immersive Virtual Reality Social Applications: A Primary Account

Neutralizing SQL Injection Attack Using Server Side Code Modification in Web Applications

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