A new model for forensic data extraction from encrypted mobile devices

Shin

et al. 2022

Sensors

The Android platform accounts for 85% of the global smartphone operating-system market share, and recently, it has also been installed on Internet-of-Things (IoT) devices such as wearable devices and vehicles. These Android-based devices store various personal information such as user IDs, addresses, and payment information and device usage data when providing convenient functions to users. Insufficient security for the management and deletion of data stored in the device can lead to various cyber security threats such as personal information leakage and identity theft. Therefore, research on the protection of personal information stored in the device is very important. However, there is a limitation that the current research for protection of personal information on the existing Android platform was only conducted on Android platform 6 or lower. In this paper, we analyze the deleted data remaining on the device and the possibility of recovery to improve user privacy for smartphones using Android platforms 9 and 10. The deleted data analysis is performed based on three data deletion scenarios: data deletion using the app’s own function, data deletion using the system app’s data and cache deletion function, and uninstallation of installed apps. It demonstrates the potential user privacy problems that can occur when using Android platforms 9 and 10 due to the leakage of recovered data. It also highlights the need for improving the security of personal user information by erasing the traces of deleted data that remain in the journal area and directory entry area of the filesystem used in Android platforms 9 and 10.

Section: Related Studiesmentioning

confidence: 99%

Digital Forensic Analysis to Improve User Privacy on Android

Shin

et al. 2022

Sensors

“…File System Extraction provides direct access to all data contained in a device without the need for any application, therefore Forensic Tools can access all files contained within a device including database files, system files, and logs. [16] ITM Web of Conferences 46, 0 (2022) ICEAS '22 2006 https://doi.org/10.1051/itmconf/20224602006…”

Section: File System Extractionmentioning

confidence: 99%

Mobile Forensics Data Acquisition

El Majdoub,

Saadi,

Chaoui

2022

ITM Web Conf.

Mobile technology is among the fastest developing technologies that have changed the way we live our lives. And, with the increase of the need to protect our personal information, smartphone companies have developed multiple types of security protection measures on their devices which makes the forensic data acquisition for law enforcement purposes so much harder. As we all know, one of the biggest tasks in mobile forensics investigation is the step of data acquisition, it is the step of extracting all the valuable information that will help the investigators to bring out all the evidences. In this paper, we will explain the traditional forensic data acquisition methods and the impact of encryption and security protection that been implemented in new smartphones on these methods, we will also present some new mobile forensics methods that will help to bypass the security measures in new generation smartphones, and finally, we will propose a new data extraction model using artificial intelligence.

“…Encryption was created for pgp emails, chat and voice communications, but not electronic money outside of government (Borradaile 2021). Countries that have banned encryption have the worst human rights records (Fukami et al 2021). This makes it clear that what society in the current civilisation expects is the right to use encryption (Stevens and Allen-Robertson 2021).…”

Section: Electricity Usage and Scalingmentioning

confidence: 99%

Bitcoin as an Investment and Hedge Alternative. A DCC MGARCH Model Analysis

Rudolf¹,

Zein

Lansdowne³

2021

Risks

Volatility and investor sentiment have been factors for the slow adoption rate of Bitcoin (BTC) that was first recognized in 2008 as a potential store of value, investment vehicle and a hedge alternative to gold during a recession. The purpose of this applied mathematics study will use a multivariate DCC GARCH model. Bitcoin holds its ground in volatility. This study examines Bitcoin as an investment and hedge alternative to gold as well as the major stock index. To perform the research to explore the viability of Bitcoin as an investment and hedge alternative to gold, the authors conducted a DCC GARCH model analysis. The findings of this research paper confirm Bitcoin’s cyclical performance between volatility and adoption. The findings give a strong ground for Bitcoin as the new digital currency, store of value, medium of exchange, and a unit of account and incentivize further research by theorists, scholars and examiners. The significance of this applied mathematics research and analysis will allow an unstoppable, incorruptible, and uncontrollable store of value, and investment vehicle, without governmental or institutional intervention. This study contributes by comparing and contrasting volatility stability based on the return levels of each Bitcoin on major indexes traded with BTC (based on fiat currencies) and gold.