Welcome pwn: Almond smart home hub forensics

Awasthi, Akshay; Read, Huw; Xynos, Konstantinos; Sutherland, Iain

doi:10.1016/j.diin.2018.04.014

Cited by 22 publications

(13 citation statements)

References 1 publication

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“…iOS devices are known for their limitations in delivering forensic evidences of the user activities. Prior to iOS 11, it was possible to perform logical acquisition of an iOS device, but it has become more difficult to obtain data from Apple devices in recent iOS versions [52]. However, forensic analysis based on SQLite databases and XML files of Twitch can be conducted on iOS devices.…”

Section: Limitations and Future Scopementioning

confidence: 99%

Forensic analysis of Twitch video streaming activities on Android

Alzahrani

Wani

Bhat

2021

Journal of Forensic Sciences

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Video streaming abuses range from copyright infringement and piracy to child sexual abuse and murder. This paper performs proactive forensics of Twitch video streaming activities on Android devices. We designed our experiments using a methodology based on black-box testing principles and conducted them on Android devices using a forensic framework. The results of our experiments suggest that forensic investigators can extract evidences of streams broadcast, shared, and watched by the user, and associate them with the Twitch account of the user. We detail all the recoverable artifacts of forensic significance, provide mechanisms to extract them based on the identified anchors, and interpret their significance in forensic investigations.

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Section: Limitations and Future Scopementioning

confidence: 99%

Forensic analysis of Twitch video streaming activities on Android

Alzahrani

Wani

Bhat

2021

Journal of Forensic Sciences

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“…Researchers in the paper by (Mundt, Dahn,¨ & Glock, 2014) have conducted an experiment to interfere with IoT devices targeting the behavior of people, while (Awasthi, Read, Xynos, & Sutherland, 2018) presented forensic data acquisition of a smart home hub environment. A conceptual model was developed by (Plachkinova, Vo, & Alluhaidan, 2016) demonstrating security and privacy issues related to smart home devices.…”

Section: Literature Reviewmentioning

confidence: 99%

A Forensic Analysis of Home Automation Devices (FAHAD) Model: Kasa Smart Light Bulb and Eufy Floodlight Camera as Case Studies

Salamh

2021

Int. j. cyber forensics adv. threat investig.

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The adoption of Internet of Things (IoT) devices is rapidly increasing with the advancement of network technology, these devices carry sensitive data that require adherence to minimum security practices. The adoption of smart devices to migrate homeowners from traditional homes to smart homes has been noticeable. These smart devices share value with and are of potential interest to digital forensic investigators, as well. Therefore, in this paper, we conduct comprehensive security and forensic analysis to contribute to both fields—targeting a security enhancement of the selected IoT devices and assisting the current IoT forensics approaches. Our work follows several techniques such as forensic analysis of identifiable information, including connected devices and sensor data. Furthermore, we perform security assessment exploring insecure communication protocols, plain text credentials, and sensitive information. This will include reverse engineering some binary files and manual analysis techniques. The analysis includes a data-set of home automation devices provided by the VTO labs: (1) the eufy floodlight camera, and (2) the Kasa smart light bulb. The main goal of the technical experiment in this research is to support the proposed model.

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“…Gokila et al examined the Nest artifacts produced by an iPhone and developed a forensic tool called the Forensic Evidence Acquisition and Analysis System [9]. Guidance on the forensic data acquisition and analysis of artifacts from Securifi Almond+, another smart home hub environment, was reported in Reference [10]. Amazon Echo, a smart speaker widely used as a smart device controller, was forensically analyzed by a proof-of-concept tool called Cloud-based IoT Forensic Toolkit [11].…”

Section: Related Workmentioning

confidence: 99%

Smart Home Forensics—Data Analysis of IoT Devices

et al. 2020

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A smart home is a residence that provides a variety of automation services based on Internet of Things (IoT) devices equipped with sensors, cameras, and lights. These devices can be remotely controlled through controllers such as smartphones and smart speakers. In a smart home, IoT devices collect and process data related to motion, temperature, lighting control, and other factors and store more diverse and complex user data. This data can be useful in forensic investigations but it is a challenge to extract meaningful data from various smart home devices because they have different data storage methods. Therefore, data collection from different smart home devices and identification and analysis of data that can be used in digital forensics is crucial. This study focuses on how to acquire, classify, and analyze smart home data from Google Nest Hub, Samsung SmartThings, and Kasa cam for forensic purposes. We thus analyzed the smart home data collected using companion apps, Web interfaces, and APIs to identify meaningful data available for the investigation. Moreover, the paper discusses various types of smart home data and their usage as core evidence in some forensic scenarios.

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Welcome pwn: Almond smart home hub forensics

Cited by 22 publications

References 1 publication

Forensic analysis of Twitch video streaming activities on Android

Forensic analysis of Twitch video streaming activities on Android

A Forensic Analysis of Home Automation Devices (FAHAD) Model: Kasa Smart Light Bulb and Eufy Floodlight Camera as Case Studies

Smart Home Forensics—Data Analysis of IoT Devices

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