Comparative analysis of mobile forensic proprietary tools: an application in forensic investigation

Author:

Parth Chauhan,Tamanna Jaitly,Animesh Kumar Agrawal

Abstract

The utilization of the Internet and wireless communication reaches its pinnacle from one side of the planet to the other. Marking the rise of criminal activity in recent years sees enormous growth in security breaches and data theft-related cases in mobile phones. To mitigate them, the implementation of security patches, safety fixes, and updates in mobile devices is of high priority for the organization. The need to foster techniques and procedures in the field to be able to extract and precisely dissect digital crime cases, providing valuable tactical data about the investigation. Mobile forensics is a developing branch assisting the investigator in criminal trials and investigations. Acquisition, Collection, and Analysis of mobile phones settle the purpose of recovering cumulative and corroborative evidence. Upgradation and innovation of mobile devices with time imposed a challenge to mobile forensic technology to extract information from such devices. The study aims at extracting comparative and statistical approaches in the analysis of Physical data acquisition utilizing significant versatile mobile criminological proprietary tools. The proposed study also introduces newly developed utility tools along with their characteristic features which help in successful data extraction from mobile devices.

Publisher

Heighten Science Publications Corporation

Subject

General Medicine

Reference20 articles.

1. 1. Simon K, Pte K. Ltd. https://datareportal.com/reports/digital-2022-global-overview-report

2. 2. Lahesoo P, Mäses S. Forensic Traces of Messaging Applications on Android and iOS Mobile phones.

3. Mobile forensic tools evaluation for digital crime investigation;Umar;Int J Adv Sci Eng Inf Technol,2018

4. 4. Osho O, Ohida SO. Comparative evaluation of mobile forensic tools. IJ Inf. Technol. Comput. Sci. 2016; 1:74-83.

5. 5. Sinha R, Sihag V, Choudhary G, Vardhan M, Singh P. Forensic Analysis of Fitness Applications on Android. In the International Symposium on Mobile Internet Security 2021; 222:235.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3