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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. -
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. -
Digital Forensics and Preservation 1
01000100 01010000 Digital 01000011 Forensics 01000100 and Preservation 01010000 Jeremy Leighton John 01000011 01000100 DPC Technology Watch Report 12-03 November 2012 01010000 01000011 01000100 01010000 Series editors on behalf of the DPC 01000011 Charles Beagrie Ltd. Principal Investigator for the Series 01000100 Neil Beagrie 01010000 01000011DPC Technology Watch Series © Digital Preservation Coalition 2012 and Jeremy Leighton John 2012 Published in association with Charles Beagrie Ltd. ISSN: 2048-7916 DOI: http://dx.doi.org/10.7207/twr12-03 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission in writing from the publisher. The moral right of the author has been asserted. First published in Great Britain in 2012 by the Digital Preservation Coalition. Foreword The Digital Preservation Coalition (DPC) is an advocate and catalyst for digital preservation, ensuring our members can deliver resilient long-term access to digital content and services. It is a not-for- profit membership organization whose primary objective is to raise awareness of the importance of the preservation of digital material and the attendant strategic, cultural and technological issues. It supports its members through knowledge exchange, capacity building, assurance, advocacy and partnership. The DPC’s vision is to make our digital memory accessible tomorrow. The DPC Technology Watch Reports identify, delineate, monitor and address topics that have a major bearing on ensuring our collected digital memory will be available tomorrow. They provide an advanced introduction in order to support those charged with ensuring a robust digital memory, and they are of general interest to a wide and international audience with interests in computing, information management, collections management and technology. -
Digital Forensic Tools & Cloud-Based Machine Learning for Analyzing
Georgia Southern University Digital Commons@Georgia Southern Electronic Theses and Dissertations Graduate Studies, Jack N. Averitt College of Spring 2018 Digital Forensic Tools & Cloud-Based Machine Learning for Analyzing Crime Data Majeed Kayode Raji Follow this and additional works at: https://digitalcommons.georgiasouthern.edu/etd Part of the Business Analytics Commons, Business Intelligence Commons, Computational Engineering Commons, and the Other Engineering Commons Recommended Citation Raji, Majeed Kayode, "Digital Forensic Tools & Cloud-Based Machine Learning for Analyzing Crime Data" (2018). Electronic Theses and Dissertations. 1879. https://digitalcommons.georgiasouthern.edu/etd/1879 This thesis (open access) is brought to you for free and open access by the Graduate Studies, Jack N. Averitt College of at Digital Commons@Georgia Southern. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons@Georgia Southern. For more information, please contact [email protected]. DIGITAL FORENSIC TOOLS & CLOUD-BASED MACHINE LEARNING FOR ANALYZING CRIME DATA by MAJEED KAYODE RAJI (Under the Direction of Hayden Wimmer) ABSTRACT Digital forensics is a branch of forensic science in which we can recreate past events using forensic tools for a legal measure. Also, the increase in the availability of mobile devices has led to their use in criminal activities. Moreover, the rate at which data is being generated has been on the increase which has led to big data problems. With cloud computing, data can now be stored, processed and analyzed as they are generated. This thesis document consists of three studies related to data analysis. The first study involves analyzing data from an Android smartphone while making a comparison between two forensic tools; Paraben E3: DS and Autopsy. -
Evaluating the Availability of Forensic Evidence from Three Idss: Tool Ability
Evaluating the Availability of Forensic Evidence from Three IDSs: Tool Ability EMAD ABDULLAH ALSAIARI A thesis submitted to the Faculty of Design and Creative Technologies Auckland University of Technology in partial fulfilment of the requirements for the degree of Masters of Forensic Information Technology School of Engineering, Computer and Mathematical Sciences Auckland, New Zealand 2016 i Declaration I hereby declare that this submission is my own work and that, to the best of my knowledge and belief, it contains no material previously published or written by another person nor material which to a substantial extent has been accepted for the qualification of any other degree or diploma of a University or other institution of higher learning, except where due acknowledgement is made in the acknowledgements. Emad Abdullah Alsaiari ii Acknowledgement At the beginning and foremost, the researcher would like to thank almighty Allah. Additionally, I would like to thank everyone who helped me to conduct this thesis starting from my family, supervisor, all relatives and friends. I would also like to express my thorough appreciation to all the members of Saudi Culture Mission for facilitating the process of studying in a foreign country. I would also like to express my thorough appreciation to all the staff of Saudi Culture Mission for facilitating the process of studying in Auckland University of Technology. Especially, the pervious head principal of the Saudi Culture Mission Dr. Satam Al- Otaibi for all his motivation, advice and support to students from Saudi in New Zealand as well as Saudi Arabia Cultural Attaché Dr. Saud Theyab the head principal of the Saudi Culture Mission. -
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. -
AD Lab DRAFT
AD Lab DRAFT User Guide | 1 AccessData Legal and Company Information AccessData Legal Information Document date: November 19, 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. -
Cfaas: Bilaterally Agreed Evidence Collection Ahmed Nour Moussa1*, Norafida Ithnin2 and Anazida Zainal3
Moussa et al. Journal of Cloud Computing: Advances, Systems and Applications Journal of Cloud Computing: (2018) 7:1 DOI 10.1186/s13677-017-0102-3 Advances, Systems and Applications RESEARCH Open Access CFaaS: bilaterally agreed evidence collection Ahmed Nour Moussa1*, Norafida Ithnin2 and Anazida Zainal3 Abstract A common cloud forensic model proposed by researchers is ‘Cloud-Forensic-as-a-Service’ where consumers have to access it as a service to collect forensic data from cloud environments. The ‘Cloud-Forensic-as-a-Service’ model raises the question of how it collects digital evidence pertaining to an incident which occurred in the cloud. Currently, types of ‘Cloud-Forensic-as-a-Service’ systems in the literature show that the system is controlled and implemented by the cloud provider, where they unilaterally define the type of evidence that can be collected by the system. A serious limitation of this approach is that it does not offer the consumer sufficient means of performing reasonableness checks to verify that the provider is not accidentally or maliciously contaminating the evidence. To address the problem, the paper proposes a conceptual bilateral Cloud-Forensic-as-a-Service model where both consumers and providers can independently collect, verify the equity of the forensic analysis process and try to resolve potential disputes emerging from the independently collected results. The authors have developed a cloud forensic process model to lead common and significant aspects of a bilateral Cloud-Forensics-as-a-Service model. The paper explicitly discusses the concept of a bilateral Cloud-Forensic-as- a-Service model. Keywords: Cloud forensics, Forensics as a service, Trust, Model Introduction decides what kind of digital evidence is required for a spe- The focus of this research is on cloud forensic services cific cloud forensics case –– the provider, the consumer, a provided remotely to Cloud Service Consumers (CSCs) trusted third party, or some combination of them? Trad- over the internet. -
Incidentes De Seguridad Y Forénsica Digital
INCIDENTES DE SEGURIDAD Y FORÉNSICA DIGITAL CURSO TEÓRICO-PRÁCTICO DIRIGIDO A: Estudiantes, profesionales y técnicos superiores en informática, computación, sistemas, telecomunicaciones o área afín, así como gerentes de sistemas, gerentes de seguridad (CISO), miembros de centros de respuesta CSIRT/CERT, administradores de sistemas, consultores, analistas, desarrolladores, programadores, pentesters, peritos informáticos, auditores, abogados, criminalistas, policías, fiscales y jueces que se ocupan de delitos informáticos. REQUISITOS DESEABLES: Conocimientos en el área de telecomunicaciones, redes y protocolos, especialmente TCP/IP. Conocimientos de computación (hardware, software, programación) y de sistemas operativos (Windows, Linux, Mac, Android). Conocimientos de seguridad (vulnerabilidades, ataques, hacking, malware, criptografía, hashing). Conocimiento instrumental del idioma inglés. MODALIDAD Y DURACIÓN: El curso se realiza a distancia o de forma semipresencial y se utiliza un DVD como material de apoyo, el cual se puede obtener en físico o descargarlo de Internet. En el DVD se encuentran las presentaciones de las clases, hiperenlaces, libros electrónicos, guías para las experiencias prácticas, así como los programas y herramientas para efectuar dichas prácticas. La metodología utilizada combina clases y lecturas con experiencias prácticas. El participante avanza a su propio ritmo, de acuerdo a su disponibilidad de tiempo. Se pueden realizar consultas en línea (Skype, WhatsApp, teléfono) y por correo electrónico. La duración del curso es de 9 semanas y se requieren unas 32 horas de dedicación (entre teoría y práctica) para completar el adiestramiento. Se entrega un certificado de aprobación. EQUIPAMIENTO: El participante debe disponer de PC o laptop de buenas prestaciones y acceso a Internet. Las imágenes forenses que se usan para ciertas prácticas son de varios GB y se deben descargar de Internet. -
Digital Forensics Tools Integration
Air Force Institute of Technology AFIT Scholar Theses and Dissertations Student Graduate Works 3-19-2020 Digital Forensics Tools Integration Alexander D. Kim Follow this and additional works at: https://scholar.afit.edu/etd Part of the Forensic Science and Technology Commons Recommended Citation Kim, Alexander D., "Digital Forensics Tools Integration" (2020). Theses and Dissertations. 3162. https://scholar.afit.edu/etd/3162 This Thesis is brought to you for free and open access by the Student Graduate Works at AFIT Scholar. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of AFIT Scholar. For more information, please contact [email protected]. Digital Forensics Tools Integration THESIS Alexander D.H. Kim, Captain, USAF AFIT-ENG-MS-20-M-031 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY AIR FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. The views expressed in this document are those of the author and do not reflect the official policy or position of the United States Air Force, the United States Department of Defense or the United States Government. This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. AFIT-ENG-MS-20-M-031 Digital Forensics Tools Integration THESIS Presented to the Faculty Department of Electrical and Computer Engineering Graduate School of Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command in Partial Fulfillment of the Requirements for the Degree of Master of Science in Cyber Operations Alexander D.H. -
The State of the Art Forensic Techniques in Mobile Cloud Environment: a Survey, Challenges and Current Trends
The State of the Art Forensic Techniques in Mobile Cloud Environment: A Survey, Challenges and Current Trends Muhammad Faheem School of Computer Science and informatics University College Dublin Dublin, Ireland [email protected] M-Tahar Kechadi School of Computer Science and informatics University College Dublin Dublin, Ireland [email protected] Nhien-An Le-Khac School of Computer Science and informatics University College Dublin Dublin, Ireland [email protected] Abstract: Smartphones have become popular in recent days due to the accessibility of a wide range of applications. These sophisticated applications demand more computing resources in a resource constraint smartphone. Cloud computing is the motivating factor for the progress of these applications. The emerging mobile cloud computing introduces a new architecture to offload smartphone and utilize cloud computing technology to solve resource requirements. The popularity of mobile cloud computing is an opportunity for misuse and unlawful activities. Therefore, it is a challenging platform for digital forensic investigations due to the non-availability of methodologies, tools and techniques. The aim of this work is to analyze the forensic tools and methodologies for crime investigation in a mobile cloud platform as it poses challenges in proving the evidence. The advancement of forensic tools and methodologies are much slower than the current technology development in mobile cloud computing. Thus, forces the available tools, and techniques become increasingly obsolete. Therefore, it opens up the door for the new forensic tools and techniques to cope up with recent developments. Hence, this work presents a detailed survey of forensic methodology and corresponding issues in a mobile device, cloud environment, and mobile cloud applications. -
First Responder Assistance Tool for Mobile Device Forensics Benjamin Kallal Iowa State University
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2012 First Responder Assistance Tool for Mobile Device Forensics Benjamin Kallal Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Computer Engineering Commons Recommended Citation Kallal, Benjamin, "First Responder Assistance Tool for Mobile Device Forensics" (2012). Graduate Theses and Dissertations. 12358. https://lib.dr.iastate.edu/etd/12358 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. First responder assistance tool for mobile device forensics By Benjamin Kallal A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Co-majors: Computer Engineering; Information Assurance Program of Study Committee: Yong Guan, Co-major Professor Doug Jacobson, Co-major Professor Suraj Kothari Iowa State University Ames, Iowa 2012 Copyright © Benjamin Kallal, 2012. All rights reserved. ii Contents List of figures ................................................................................................................................... iii Abstract ..........................................................................................................................................