Forensic Investigation Procedure for Data Acquisition and Analysis of Firefox OS based Mobile devices

被引:0
|
作者
Jadhav, Mandar [1 ]
Joshi, K. K. [1 ]
机构
[1] Veermata Jijabai Technol Inst, Dept Comp Engn & IT, Mumbai, Maharashtra, India
关键词
Firefox OS; Digital Forensics; B2G; Mobile Forensics; Data Acquisition; Forensic investigation; Gecko;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Firefox OS based mobile phones were introduced in market by Mozilla Corporation in 2013, after its successful demonstration through Boot2Gecko project a year prior to its release. The Firefox OS is an Open Source, Linux based, Standalone, Open Web Operating System. The Android and iOS phones, due to their presence and wide acceptance over the past decade, are ruling the mobile market. Therefore, numerous forensic investigation tools that follow standard and structured forensic procedures are available for such platforms. But, as the Firefox OS is relatively new, limited research is being done on the forensic front. The rate of mobile crimes are increasing, thus forensic analysis procedures for such unique operating system should be designed at the earliest. A way to acquire data is already known as per earlier research work done on this OS. However, the internal data acquisition was not working and only limited data could be acquired. In this paper we present a methodology for acquisition of internal data from Firefox operating system based mobile device and its complete analysis to recover important evidence. The paper gives a way to start the process of acquiring data by use of Android Debug Bridge, followed by identification of important files which can be analyzed to obtain valid results. Further it exhibits how use of Magnet AXIOM toolkit helped us to recover images, documents, audio files and web related data from the acquired evidence. We also show how tools like qtADB, FTK Imager and SQLite Forensics helped us in forensic investigation.
引用
收藏
页码:456 / 461
页数:6
相关论文
共 50 条
  • [1] Mobile Forensic Data Acquisition in Firefox OS
    Yusoff, Mohd Najwadi
    Mahmod, Ramlan
    Abdullah, Mohd Taufik
    Dehghantanha, Ali
    [J]. 2014 THIRD INTERNATIONAL CONFERENCE ON CYBER SECURITY, CYBER WARFARE AND DIGITAL FORENSIC (CYBERSEC), 2014, : 27 - 31
  • [2] An Approach for Forensic Investigation in Firefox OS
    Yusoff, Mohd Najwadi
    Mahmod, Ramlan
    Dehghantanha, Ali
    Abdullah, Mohd Taufik
    [J]. 2014 THIRD INTERNATIONAL CONFERENCE ON CYBER SECURITY, CYBER WARFARE AND DIGITAL FORENSIC (CYBERSEC), 2014, : 22 - 26
  • [3] Forensic acquisition and analysis of palm webOS on mobile devices
    Casey, Eoghan
    Cheval, Adrien
    Lee, Jong Yeon
    Oxley, David
    Song, Yong Jun
    [J]. DIGITAL INVESTIGATION, 2011, 8 (01) : 37 - 47
  • [4] Ontology-Based Forensic Analysis of Mobile Devices
    Alzaabi, Mohammed
    [J]. 2013 IEEE 20TH INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS), 2013, : 64 - 65
  • [5] Mobile forensic reference set (MFReS) and mobile forensic investigation for android devices
    Dohyun Kim
    Yunho Lee
    Sangjin Lee
    [J]. The Journal of Supercomputing, 2018, 74 : 6618 - 6632
  • [6] Mobile forensic reference set (MFReS) and mobile forensic investigation for android devices
    Kim, Dohyun
    Lee, Yunho
    Lee, Sangjin
    [J]. JOURNAL OF SUPERCOMPUTING, 2018, 74 (12): : 6618 - 6632
  • [7] Forensic investigation of certain types of mobile devices
    Luttenberger, Silas
    Creutzburg, Reiner
    [J]. MULTIMEDIA ON MOBILE DEVICES 2011 AND MULTIMEDIA CONTENT ACCESS: ALGORITHMS AND SYSTEMS V, 2011, 7881
  • [8] Logical acquisition and analysis of data from android mobile devices
    Srivastava, Himanshu
    Tapaswi, Shashikala
    [J]. INFORMATION AND COMPUTER SECURITY, 2015, 23 (05) : 450 - 475
  • [9] Forensic Analysis of Android Mobile Devices
    Rao, V. Venkateswara
    Chakravarthy, A. S. N.
    [J]. 2016 INTERNATIONAL CONFERENCE ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (ICRAIE), 2016,
  • [10] Logical acquisition method based on data migration for Android mobile devices
    Feng, Peijun
    Li, Qingbao
    Zhang, Ping
    Chen, Zhifeng
    [J]. DIGITAL INVESTIGATION, 2018, 26 : 55 - 62