Performance of Android Forensics Data Recovery Tools
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Guidelines on Mobile Device Forensics
NIST Special Publication 800-101 Revision 1 Guidelines on Mobile Device Forensics Rick Ayers Sam Brothers Wayne Jansen http://dx.doi.org/10.6028/NIST.SP.800-101r1 NIST Special Publication 800-101 Revision 1 Guidelines on Mobile Device Forensics Rick Ayers Software and Systems Division Information Technology Laboratory Sam Brothers U.S. Customs and Border Protection Department of Homeland Security Springfield, VA Wayne Jansen Booz Allen Hamilton McLean, VA http://dx.doi.org/10.6028/NIST.SP. 800-101r1 May 2014 U.S. Department of Commerce Penny Pritzker, Secretary National Institute of Standards and Technology Patrick D. Gallagher, Under Secretary of Commerce for Standards and Technology and Director Authority This publication has been developed by NIST in accordance with its statutory responsibilities under the Federal Information Security Management Act of 2002 (FISMA), 44 U.S.C. § 3541 et seq., Public Law (P.L.) 107-347. NIST is responsible for developing information security standards and guidelines, including minimum requirements for Federal information systems, but such standards and guidelines shall not apply to national security systems without the express approval of appropriate Federal officials exercising policy authority over such systems. This guideline is consistent with the requirements of the Office of Management and Budget (OMB) Circular A-130, Section 8b(3), Securing Agency Information Systems, as analyzed in Circular A- 130, Appendix IV: Analysis of Key Sections. Supplemental information is provided in Circular A- 130, Appendix III, Security of Federal Automated Information Resources. Nothing in this publication should be taken to contradict the standards and guidelines made mandatory and binding on Federal agencies by the Secretary of Commerce under statutory authority. -
A Usability Analysis of the Autopsy Forensic Browser
Proceedings of the Second International Symposium on Human Aspects of Information Security & Assurance (HAISA 2008) A Usability Analysis of the Autopsy Forensic Browser D.J. Bennett and P. Stephens Department of Computing (Academic), Canterbury Christ Church University, Canterbury, United Kingdom e-mail: {david.bennett, paul.stephens}@canterbury.ac.uk Abstract This paper reviews the usability of the Autopsy Forensic Browser. Two expert-based usability review techniques are used: Cognitive Walkthrough and Heuristic Evaluation. The results of the evaluation indicate that there are many areas where usability could be improved and these are classified into areas of eight overlapping areas. Examples from each area are presented, with suggestions as to methods to alleviate them. The paper concludes with a future work proposal to effect the changes suggested and retest the current and the replacement system with a user-based evaluation. Keywords Usability, Human-Computer Interaction, Interface Design, Autopsy Forensic Browser, The Sleuth Kit, Cognitive Walkthrough, Heuristic Evaluation 1. Introduction This paper reviews the usability of the Autopsy Forensic Browser tool. The reasoning for this is to improve future versions of the tool. In many ways forensic analysis tools are no different to any other mission critical software in terms of the need for usability. However, failure in usability in such tools could lead to outcomes which deny liberty to innocent persons, or enable criminals to continue with criminal activity should an investigation fail in some way. 1.1. Forensics and the Autopsy Forensic Browser Gottschalk et al. (2005) define computer forensics as the identification, preservation, investigation, and documentation of computer systems data used in criminal activity. -
How to Recover Data from a Broken Hard Drive
How to Recover Data From a Broken Hard Drive Home Index Donate About Contact Us geekyprojects.com Web How to Recover Data From a Broken Hard Drive18. May 2007, 3:09 Uhr Pablo Garcia If you are reading this article you are probably desperate, but before you panic let me tell you that there is hope, and there is probably more hope than you think…. Even if your hard drive has an internal mechanical malfunction, data can be recovered without having to send the hard Data backup and recovery drive to a data recovery service. Yes! you heard right, I’m Data Center Aligns IT Resources To About Business Needs & Gives Good Benefit sure you have come across articles that will tell you how What is GEEKYPROJECTS all about? Cisco.com/in/DataCenter to recover data from a damaged partition, you will find a Geeky Projects is a site conceived in hopes of ton of those on the web, but when your hard drive starts gathering and documenting interesting projects. malfunctioning none of those articles are going to help We focus on creating quality articles that help you solve your problem, This article will. you become more efficient. more about » Feeds Corrupted file system RSS Posts If the hard drive gets detected by Windows and can be accessed but you do not see any data inside, or you get a RSS Comments message saying that the drive needs to be formatted. You probably have a corrupted file system in you hands. The solution for this is a good file recovery software. -
A Study of Hard Drive Forensics on Consumers' Pcs: Data
A Study of Hard Drive Forensics on Consumers’ PCs: Data Recovery and Exploitation B. Dawn Medlin Appalachian State University Joseph A. Cazier Appalachian State University One of the first actions to take when getting rid of an old personal computer is to remove all of the files that contain identifying and personal information. Individuals can be surprisingly negligent in this effort. Many individuals may also believe that by simply moving their files to the recycle bin and then emptying that bin that all of their programs and files are permanently erased. If personal information is not totally deleted, acts of identity theft can easily occur. Our research study identified the types of information found and/or recovered from hard disk drives on computers that have been donated to charity, sold second-hand, or otherwise donated to other organizations for reuse. Of the fifty-five hard drives studied approximately 300,000 files contained identifiable information. Results showed the need for further training in relation to total file erasure from a hard drive as well as the negative results such as identity theft that can occur due to this lack of training or knowledge. INTRODUCTION Wiping a computer clean is not as easy as it may appear. Just deleting the personal files and emptying the recycle bin is essentially next to useless. The delete function only removes file names from a directory list and makes the sectors the files occupy on the hard drive available for future use. Meanwhile, these files actually continue to exist. To positively prevent data from recovery, disks can be removed from disk drives and broken up, or even ground to microscopic pieces. -
Forensic Toolkit (FTK)
Forensic Toolkit (FTK) User Guide | 1 AccessData Legal and Contact Information Document date: January 31, 2018 Legal Information ©2018 AccessData Group, Inc. All rights reserved. No part of this publication may be reproduced, photocopied, stored on a retrieval system, or transmitted without the express written consent of the publisher. AccessData Group, Inc. makes no representations or warranties with respect to the contents or use of this documentation, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, AccessData Group, Inc. reserves the right to revise this publication and to make changes to its content, at any time, without obligation to notify any person or entity of such revisions or changes. Further, AccessData Group, Inc. makes no representations or warranties with respect to any software, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, AccessData Group, Inc. reserves the right to make changes to any and all parts of AccessData software, at any time, without any obligation to notify any person or entity of such changes. You may not export or re-export this product in violation of any applicable laws or regulations including, without limitation, U.S. export regulations or the laws of the country in which you reside. AccessData Group, Inc. 588 West 400 South Suite 350 Lindon, UT 84042 USA AccessData Trademarks and Copyright Information The following are either registered trademarks or trademarks of AccessData Group, Inc. All other trademarks are the property of their respective owners. AccessData® AD Summation® Mobile Phone Examiner Plus® AccessData Certified Examiner® (ACE®) Discovery Cracker® MPE+ Velocitor™ AD AccessData™ Distributed Network Attack® Password Recovery Toolkit® AD eDiscovery® DNA® PRTK® AD RTK™ Forensic Toolkit® (FTK®) Registry Viewer® LawDrop® Summation® | 2 A trademark symbol (®, ™, etc.) denotes an AccessData Group, Inc. -
Comparative Evaluation of Mobile Forensic Tools
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/322250449 Comparative Evaluation of Mobile Forensic Tools Chapter in Advances in Intelligent Systems and Computing · January 2018 DOI: 10.1007/978-3-319-73450-7_11 CITATIONS READS 0 486 6 authors, including: John Alhassan Sanjay Misra Federal University of Technology Minna Covenant University Ota Ogun State, Nigeria 40 PUBLICATIONS 16 CITATIONS 302 PUBLICATIONS 1,059 CITATIONS SEE PROFILE SEE PROFILE Adewole Adewumi Rytis Maskeliunas Covenant University Ota Ogun State, Nigeria Kaunas University of Technology 51 PUBLICATIONS 46 CITATIONS 94 PUBLICATIONS 164 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Learning from Failure: Evaluation of Agent Dyads in the Context of Adversarial Classification Game View project Biohashing based on Boolean logic operations View project All content following this page was uploaded by Rytis Maskeliunas on 08 January 2018. Provided by Covenant University Repository The user has requested enhancement of the downloaded file. CORE Metadata, citation and similar papers at core.ac.uk Comparative Evaluation of Mobile Forensic Tools J. K. Alhassan1(&), R. T. Oguntoye1, Sanjay Misra2, Adewole Adewumi2, Rytis Maskeliūnas3, and Robertas Damaševičius3 1 Federal University of Technology, Minna, Nigeria [email protected] 2 Covenant University, Otta, Nigeria [email protected] 3 Kaunas University of Technology, Kaunas, Lithuania [email protected] Abstract. The rapid rise in the technology today has brought to limelight mobile devices which are now being used as a tool to commit crime. Therefore, proper steps need to be ensured for Confidentiality, Integrity, Authenticity and legal acquisition of any form of digital evidence from the mobile devices. -
Improving the Efficiency of Big Forensic Data Analysis Using Nosql
Improving the Efficiency of Big Forensic Data Analysis Using NoSQL Md Baitul Al Sadi Hayden Wimmer Lei Chen Kai Wang Department of Information Department of Information Department of Information Department of Computer Technology Technology Technology Science Georgia Southern University Georgia Southern University Georgia Southern University Georgia Southern University Statesboro, GA 30458, USA Statesboro, GA 30458, USA Statesboro, GA 30458, USA Statesboro, GA 30458, USA [email protected] [email protected] [email protected] [email protected] them in NoSQL (Not Only SQL) database. There is a variety of ABSTRACT tools available including Autopsy, EnCase, Foremost, FTK, The rapid growth of Internet of Things (IoT) makes the task for Registry Recon, PTK Forensics, The Sleuth Kit, The Coroner's digital forensic more difficult. At the same time, the data analyzing Toolkit, COFEE etc. to extract data from IoT devices. The technology is also developing in a feasible pace. Where traditional extracted data will be in an unstructured format, hence NoSQL is Structured Query Language (SQL) is not adequate to analyze the the best solution to analyze them. Here the document-oriented data in an unstructured and semi-structured format, Not only database program, MongoDB has been chosen to analyze the data Standard Query Language (NoSQL) unfastens the access to from Internet of Things (IoT). To our best knowledge this is pioneer analyzing the data of all format. The large volume of data of IoTs work in terms of using NoSQL and MongoDB for DF. turns into Big Data which just do not enhance the probability of attaining of evidence of an incident but make the investigation 2 BACKGROUND process more complex. -
AD-Ediscovery-Product-Review-From
eDiscovery Full eDiscovery Suite Empowering Excellence from Data Collection to Analysis for Endpoint & Remote Data Collection, Forensic Imaging, Document Review, and Much More AD eDiscovery is Company Name Brand challenges for over 30 years. For example, AccessData Group, Inc. one of the more difficult tasks is collecting a single, integrated data from remote computers which has Product Name Brand(s) become even more prevalent in the platform for preservation, AD eDiscovery work-from-home environments we find litigation holds, collection, AD Enterprise ourselves these days. Fortunately, Forensic Toolkit (FTK) AccessData stands out as one of the few data processing, and Quin-C companies that offers tools and platforms AD QBlaze that allow customers to successfully assessment, along with Summation retrieve and process electronically stored legal review and information from anywhere. Latest Developments and Updates production.” • Collect from Microsoft Office 365, Teams, The Comprehensive eDiscovery Mimecast email management, and Family from AccessData Proofpoint cybersecurity. AccessData is a comprehensive provider of • Speed data collection and analysis with computer forensics and litigation support automated tasks. technologies and boasts a broad spectrum • Remotely collect data from Apple macOS of stand-alone and enterprise-grade Catalina and Mojave operating systems. software platforms. • The new AD QBlaze platform simplifies processing and review in an easy-to- One of their flagship products, AD access SaaS model. eDiscovery, supports an end-to-end discovery process across the entire There are many uncertainties one Electronic Discovery Reference Model encounters when attempting to be (EDRM). A single SQL database serves all proficient at eDiscovery processes and components and supports seamless, procedures but there is a company that connected workflows in a forensically has aptly and consistently addressed those sound environment. -
FTK in Action
The Forensic Process Examined: Creating cases for classroom use Yvonne LeClaire Lewis University MSIS 68-595 Table of Contents Introduction ................................................................................................................................................. 4 Digital Evidence ........................................................................................................................................... 5 Computers.................................................................................................................................................. 5 Storage Devices ......................................................................................................................................... 5 Handheld Devices ...................................................................................................................................... 6 Peripheral Devices ..................................................................................................................................... 6 Network Devices ....................................................................................................................................... 7 Miscellaneous Possible Sources ................................................................................................................ 7 Determining the Course of Action ............................................................................................................. 7 Uses for Digital Evidence ........................................................................................................................... -
A User-Oriented Network Forensic Analyser
A USER-ORIENTED NETWORK FORENSIC ANALYSER 1 1 1,2 1,2 D. Joy , F. Li , N.L. Clarke and S.M. Furnell 1Centre for Security, Communications and Network Research (CSCAN) Plymouth University, Plymouth, United Kingdom 2Security Research Institute, Edith Cowan University, Western Australia [email protected] Abstract Network forensics is becoming an increasingly important tool in the investigation of cyber and computer- assisted crimes. Unfortunately, whilst much effort has been undertaken in developing computer forensic file system analysers (e.g. Encase and FTK), such focus has not been given to Network Forensic Analyser Tools (NFATs). The single biggest barrier to effective NFATs is the handling of large volumes of low-level traffic and being able to exact and interpret forensic artefacts and their context – for example, being able extract and render application-level objects (such as emails, web pages and documents) from the low-level TCP/IP traffic but also understand how these applications/artefacts are being used. Whilst some studies and tools are beginning to achieve object extraction, results to date are limited to basic objects. No research has focused upon analysing network traffic to understand the nature of its use – not simply looking at the fact a person requested a webpage, but how long they spend on the application and what interactions did they have with whilst using the service (e.g. posting an image, or engaging in an instant message chat). This additional layer of information can provide an investigator with a far more rich and complete understanding of a suspect’s activities. To this end, this paper presents an investigation into the ability to derive high-level application usage characteristics from low-level network traffic meta-data. -
Taxonomy of Digital Forensics: Investigation Tools and Challenges
Taxonomy of Digital Forensics: Investigation Tools and Challenges Nikita Rana1, Gunjan Sansanwal1, Kiran Khatter1,2 and Sukhdev Singh1,2 1Department of Computer Science and Engineering Manav Rachna International University, Faridabad-121004, India 2Accendere Knowledge Management Services Pvt. Ltd., India Abstract In today’s world of computers, any kind of information can be made available within few clicks for different endeavours. The information may be tampered by changing the statistical properties and can be further used for criminal activities. These days, Cybercrimes are happening at a very large scale, and possess big threats to the security of an individual, firm, industry and even to developed countries. To combat such crimes, law enforcement agencies and investment institutions are incorporating supportive examination policies, procedures and protocols to address the complete investigation process. The paper entails a detailed review of several cybercrimes followed by various digital forensics processes involved in the cybercrime investigation. Further various digital forensics tools with detail explanation are discussed with their advantages, disadvantages, challenges, and drawbacks. A comparison among all the selected tools is also presented. Finally the paper recommends the need of training programs for the first responder and judgement of signature based image authentication. 1. INTRODUCTION Computer is a masterpiece made by the human race that has made our lives smooth and effortless. Computers have become the very bedrock of today’s technological environment and we use them in almost every aspect of our customary life. They are everywhere from shopping, banking to school and hospitals, even our own homes. Businesses depend on these devices and the Internet to do their daily transactions, marketing and communications across the globe and given to our desideratum to have the best of everything it has seen noteworthy diversifications. -
A Comparison of Computer Forensic Tools: an Open-Source Evaluation
A Comparison of Computer Forensic Tools: An Open-Source Evaluation Adam Cervellone, B.S., Graduate Student, Marshall University Forensic Science Center, 1401 Forensic Science Drive, Huntington, WV 25701 901725850 Agency Supervisor-Robert Price Jr., M.S., Forensic Scientist I, North Carolina State Crime Laboratory, 121 E. Tryon Road, Raleigh NC 27601 Technical Assistant- Joshua Brunty, M.S., Marshall University Forensic Science Center, 1401 Forensic Science Drive, Huntington, WV, 25701 MU Topic Advisor-Terry Fenger, Ph.D., Marshall University Forensic Science Center, 1401 Forensic Science Drive, Huntington, WV, 25701 Cervellone 1 of 30 Abstract The world of digital forensics is an ever-evolving field with multiple tools for analysis from which to choose. Many of these tools have very focused functions such as Mac and iOS device analysis, registry examination, steganography analysis, mobile device examination, password recovery and countless others. Other tools are full featured suites capable of analyzing a large case containing multiple items. The major problem with many of these tools is cost. While they may be robust, they may not be affordable for a smaller lab that wants to do digital forensics. This research focuses on industry standard forensic software such as: Guidance Software® EnCase® Forensic 6, AccessData® FTK® (Forensic Toolkit) 5, as well as SANS SIFT Workstation 3.0. The SIFT Workstation is a freely available open-source processing environment that contains multiple tools with similar functionality to EnCase® and FTK®. This study evaluates the processing and analysis capabilities of each tool. In addition to processing functionality, a simple cost analysis study was done. The latter portion of the research displayed how much a lab may have to spend to get a single examiner fully on-line with each tool.