Mobile Forensics

2021 ◽  
pp. 102-116
Author(s):  
Manish Kumar
Keyword(s):  
Mobile Forensics

Mobile Forensics for Cloud Storage Service on iOS Systems

2018 ◽  
Author(s):  
Cheng-Ta Huang ◽  
Hung-Jui Ko ◽  
Zhi-Wei Zhuang ◽  
Ping-Cheng Shih ◽  
Shiuh-Jeng WANG
Keyword(s):  
Cloud Storage ◽  
Mobile Forensics ◽  
Cloud Storage Service ◽  
Storage Service

Mobile Forensics in Healthcare

2009 ◽  
Author(s):  
Connie Justice ◽  
Hunamei Wu ◽  
Evelyn Walton
Keyword(s):  
Mobile Forensics

Introduction to Windows Mobile Forensics

2010 ◽  
Vol 6 (3-4) ◽  
pp. 136-146 ◽  
Author(s):  
Eoghan Casey ◽  
Michael Bann ◽  
John Doyle
Keyword(s):  
Mobile Forensics ◽  
Windows Mobile

scholarly journals Digital Forensic Analysis on Android Smartphones for Handling Cybercrime Cases

2019 ◽  
Vol 7 (2) ◽  
pp. 19 ◽  
Author(s):  
Firmansyah Gustav Hikmatyar ◽  
Bambang Sugiantoro
Keyword(s):  
Operating System ◽  
Forensic Analysis ◽  
Weighting Method ◽  
Final Project ◽  
Mobile Forensics ◽  
Storage Media ◽  
The Times ◽  
Computer Forensic ◽  
Crime Scenarios ◽  
Communication Lines

As the times progressed, forensic science has developed rapidly. The science of forensics extends to new areas of technology ranging from digital forensics, computer forensics and mobile forensics. Mobile forensics in analyzing and collecting data is obtained from various resources, such as operating systems, communication lines and also various storage media. The most popular mobile operating system of the day is a smartphone based on android operating system. With android technology, criminals can use that technology as a crime medium ranging from overriding crime ideas, crime targets and crime scenarios. In this Final Project use forensic mobile application to get data residing in cell phone actors, in the form of text, sound, picture and video that have or not yet deleted in smartphone. In this study, a model for investigating the crime scene is the author using the Generic Computer Forensic Investigation Model (GCFIM). On the GCFIM model the investigator may be able to return to the previous stage because of the possibility of a changeable situation (both physical and digital), the investigation tools used, the crime tools used, and the level of investigative expertise. In this research also added weighting method of word TF-IDF, where this method can help to find keyword in digital evidence in the form of word / text.

Mobile Forensics

2018 ◽  
pp. 297-308
Author(s):  
Izzat Alsmadi ◽  
Robert Burdwell ◽  
Ahmed Aleroud ◽  
Abdallah Wahbeh ◽  
Mahmood Al-Qudah ◽  
...  
Keyword(s):  
Mobile Forensics

scholarly journals Forensic Analysis of Fitbit Versa 2 Data on Android

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1431
Author(s):  
Yung Han Yoon ◽  
Umit Karabiyik
Keyword(s):  
Law Enforcement ◽  
Credit Card ◽  
Smartphone Application ◽  
Forensic Analysis ◽  
New Device ◽  
Related Data ◽  
Mobile Forensics ◽  
Health Related ◽  
Media Message ◽  
Fitness Trackers

The increase in the adoption of wearable fitness trackers has led to their inclusion as valuable evidence used by law enforcement during investigations. The information available in these fitness trackers can be used by law enforcement to prosecute or exonerate an individual. Wearable fitness devices are constantly being released by companies, with new firmware created for each iteration. As technology developers, research and law enforcement must keep pace to take advantage of data that can be used in investigations. The Fitbit line of devices is a popular brand of wearable trackers. This study will investigate what artifacts are generated by the new Fitbit Versa 2 by investigating what data are generated and stored on the smartphone app component of the new device. The artifacts discovered will be related to areas of forensic interest that are relevant to a law enforcement officer or digital forensics practitioner. Previous research and their methodologies used for application and mobile forensics will be used to conduct this research. This study finds the Fitbit Versa 2, and by extension, the Fitbit smartphone application does not store social media message notifications pushed to the tracker by the user’s mobile device. Some credit card information, health-related data, such as heart rate, GPS locations, and other potentially identifying data were found in plaintext. While the exposed data is not enough on its own to pose an immediate serious issue, it can be used as leverage to phish a user for further details.

The Role of Mobile Forensics in Terrorism Investigations Involving the Use of Cloud Storage Service and Communication Apps

2016 ◽  
Vol 22 (2) ◽  
pp. 240-254 ◽  
Author(s):  
Niken Dwi Wahyu Cahyani ◽  
Nurul Hidayah Ab Rahman ◽  
William Bradley Glisson ◽  
Kim-Kwang Raymond Choo
Keyword(s):  
Cloud Storage ◽  
Mobile Forensics ◽  
Cloud Storage Service ◽  
Storage Service
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