Digital Forensics and Preservation 1
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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. -
ESSAY Untangling Attribution David D. Clark* and Susan Landau**
ESSAY Untangling Attribution David D. Clark* and Susan Landau** I. Introduction In February 2010, former Director of the National Security Agency Mike McConnell wrote, "We need to develop an early-warning system to monitor cyberspace, identify intrusions and locate the source of attacks with a trail of evidence that can support diplomatic, military and legal options and we must be able to do this in milliseconds. More specifically, we need to reengineer the Internet to make attribution, geolocation, intelligence analysis and impact assessment - who did it, from where, why and what was the result - more manageable."I The Internet was not designed with the goal of deterrence in mind, and perhaps a future Internet should be designed differently. McConnell's statement is part of a recurring theme that a secure Internet must provide better attribution for actions occurring on the network. Although attribution generally means assigning a cause to an action, as used here attribution refers to identifying the agent responsible for the action (specifically, "determining * David Clark, Senior Research Scientist, MIT, Cambridge MA 02139, ddc acsail.mit.edu. Clark's effort on this work was funded by the Office of Naval Research under award number N00014-08-1-0898. Any opinions, findings, and conclusions or recommendations expressed in this Essay are those of the authors and do not necessarily reflect the views of the Office of Naval Research. " Susan Landau, Fellow, Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA 02138, susan.landau(a) rivacvink.oru. An earlier version of this Essay appeared in COMMI. ON DLTLRRING CYBERATTACKS, NAT'L RLSLARCH COUNCIL, PROCELDINGS OF A WORKSHOP ON DLTLRRING CYBLRATTACKS: INFORMING STRATEGILS AND DLVLLOPING OPTIONS FOR U.S. -
Pgpfone Pretty Good Privacy Phone Owner’S Manual Version 1.0 Beta 7 -- 8 July 1996
Phil’s Pretty Good Software Presents... PGPfone Pretty Good Privacy Phone Owner’s Manual Version 1.0 beta 7 -- 8 July 1996 Philip R. Zimmermann PGPfone Owner’s Manual PGPfone Owner’s Manual is written by Philip R. Zimmermann, and is (c) Copyright 1995-1996 Pretty Good Privacy Inc. All rights reserved. Pretty Good Privacy™, PGP®, Pretty Good Privacy Phone™, and PGPfone™ are all trademarks of Pretty Good Privacy Inc. Export of this software may be restricted by the U.S. government. PGPfone software is (c) Copyright 1995-1996 Pretty Good Privacy Inc. All rights reserved. Phil’s Pretty Good engineering team: PGPfone for the Apple Macintosh and Windows written mainly by Will Price. Phil Zimmermann: Overall application design, cryptographic and key management protocols, call setup negotiation, and, of course, the manual. Will Price: Overall application design. He persuaded the rest of the team to abandon the original DOS command-line approach and designed a multithreaded event-driven GUI architecture. Also greatly improved call setup protocols. Chris Hall: Did early work on call setup protocols and cryptographic and key management protocols, and did the first port to Windows. Colin Plumb: Cryptographic and key management protocols, call setup negotiation, and the fast multiprecision integer math package. Jeff Sorensen: Speech compression. Will Kinney: Optimization of GSM speech compression code. Kelly MacInnis: Early debugging of the Win95 version. Patrick Juola: Computational linguistic research for biometric word list. -2- PGPfone Owner’s -
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. -
THE PRES/URRECTION of DEENA LARSEN's “MARBLE SPRINGS, SECOND EDITION” by LEIGHTON L. CHRISTIANSEN THESIS Submitted in Part
THE PRES/URRECTION OF DEENA LARSEN’S “MARBLE SPRINGS, SECOND EDITION” BY LEIGHTON L. CHRISTIANSEN THESIS Submitted in partial fulfillment of the requirements for the degree of Master of Science in Library and Information Science in the Graduate College of the University of Illinois at Urbana-Champaign, 2012 Urbana, Illinois Adviser: Associate Professor Jerome McDonough © 2012 Leighton L. Christiansen Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License 2012 Leighton L. Christiansen Abstract The following is a report on one effort to preserve Deena Larsen’s hypertextual poetic work Marble Springs, Second Edition (MS2). As MS2 is based on Apple’s HyperCard, a software program that is no longer updated or supported, MS2, and other works created in the same environment, face extinction unless action is taken. The experiment below details a basic documentary approach, recording functions and taking screen shots of state changes. The need to preserve significant properties is discussed, as are the costs associated with this preservation approach. ii Acknowledgments This project would not have been possible without the help and support of many people. First I have to thank Deena Larsen for entrusting me with “her baby,” Marble Springs, and a number of obsolete Macs. Many thanks to my readers, Jerome McDonough and Matthew Kirschenbaum, who offered helpful insights in discussions and comments. A great deal of appreciation is due to my team of proofreaders, Lynn Yarmey, Mary Gen Davies, April Anderson and Mikki Smith. Anyone who has to try to correct my poor spelling over 3,000 pages deserves an award. Finally, thanks to my classmates, professors, and friends at GSLIS, who listened to me talk on and on about this project, all of whom had to wonder when I would finish. -
Design Principles and Patterns for Computer Systems That Are
Bibliography [AB04] Tom Anderson and David Brady. Principle of least astonishment. Ore- gon Pattern Repository, November 15 2004. http://c2.com/cgi/wiki? PrincipleOfLeastAstonishment. [Acc05] Access Data. Forensic toolkit—overview, 2005. http://www.accessdata. com/Product04_Overview.htm?ProductNum=04. [Adv87] Display ad 57, February 8 1987. [Age05] US Environmental Protection Agency. Wastes: The hazardous waste mani- fest system, 2005. http://www.epa.gov/epaoswer/hazwaste/gener/ manifest/. [AHR05a] Ben Adida, Susan Hohenberger, and Ronald L. Rivest. Fighting Phishing Attacks: A Lightweight Trust Architecture for Detecting Spoofed Emails (to appear), 2005. Available at http://theory.lcs.mit.edu/⇠rivest/ publications.html. [AHR05b] Ben Adida, Susan Hohenberger, and Ronald L. Rivest. Separable Identity- Based Ring Signatures: Theoretical Foundations For Fighting Phishing Attacks (to appear), 2005. Available at http://theory.lcs.mit.edu/⇠rivest/ publications.html. [AIS77] Christopher Alexander, Sara Ishikawa, and Murray Silverstein. A Pattern Lan- guage: towns, buildings, construction. Oxford University Press, 1977. (with Max Jacobson, Ingrid Fiksdahl-King and Shlomo Angel). [AKM+93] H. Alvestrand, S. Kille, R. Miles, M. Rose, and S. Thompson. RFC 1495: Map- ping between X.400 and RFC-822 message bodies, August 1993. Obsoleted by RFC2156 [Kil98]. Obsoletes RFC987, RFC1026, RFC1138, RFC1148, RFC1327 [Kil86, Kil87, Kil89, Kil90, HK92]. Status: PROPOSED STANDARD. [Ale79] Christopher Alexander. The Timeless Way of Building. Oxford University Press, 1979. 429 430 BIBLIOGRAPHY [Ale96] Christopher Alexander. Patterns in architecture [videorecording], October 8 1996. Recorded at OOPSLA 1996, San Jose, California. [Alt00] Steven Alter. Same words, different meanings: are basic IS/IT concepts our self-imposed Tower of Babel? Commun. AIS, 3(3es):2, 2000. -
Attribute-Based, Usefully Secure Email
Dartmouth College Dartmouth Digital Commons Dartmouth College Ph.D Dissertations Theses and Dissertations 8-1-2008 Attribute-Based, Usefully Secure Email Christopher P. Masone Dartmouth College Follow this and additional works at: https://digitalcommons.dartmouth.edu/dissertations Part of the Computer Sciences Commons Recommended Citation Masone, Christopher P., "Attribute-Based, Usefully Secure Email" (2008). Dartmouth College Ph.D Dissertations. 26. https://digitalcommons.dartmouth.edu/dissertations/26 This Thesis (Ph.D.) is brought to you for free and open access by the Theses and Dissertations at Dartmouth Digital Commons. It has been accepted for inclusion in Dartmouth College Ph.D Dissertations by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. Attribute-Based, Usefully Secure Email A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science by Christopher P. Masone DARTMOUTH COLLEGE Hanover, New Hampshire August, 2008 Examining Committee: (chair) Sean W. Smith, Ph.D. David F. Kotz, Ph.D. Christopher J. Bailey-Kellogg, Ph.D. Denise L. Anthony, Ph.D. M. Angela Sasse, Ph.D. Charles K. Barlowe, PhD Dean of Graduate Studies Abstract A secure system that cannot be used by real users to secure real-world processes is not really secure at all. While many believe that usability and security are diametrically opposed, a growing body of research from the field of Human-Computer Interaction and Security (HCISEC) refutes this assumption. All researchers in this field agree that focusing on aligning usability and security goals can enable the design of systems that will be more secure under actual usage. -
Mac Os Versions in Order
Mac Os Versions In Order Is Kirby separable or unconscious when unpins some kans sectionalise rightwards? Galeate and represented Meyer videotapes her altissimo booby-trapped or hunts electrometrically. Sander remains single-tax: she miscalculated her throe window-shopped too epexegetically? Fixed with security update it from the update the meeting with an infected with machine, keep your mac close pages with? Checking in macs being selected text messages, version of all sizes trust us, now became an easy unsubscribe links. Super user in os version number, smartphones that it is there were locked. Safe Recover-only Functionality for Lost Deleted Inaccessible Mac Files Download Now Lost grate on Mac Don't Panic Recover Your Mac FilesPhotosVideoMusic in 3 Steps. Flex your mac versions; it will factory reset will now allow users and usb drive not lower the macs. Why we continue work in mac version of the factory. More secure your mac os are subject is in os x does not apply video off by providing much more transparent and the fields below. Receive a deep dive into the plain screen with the technology tally your search. MacOS Big Sur A nutrition sheet TechRepublic. Safari was in order to. Where can be quit it straight from the order to everyone, which can we recommend it so we come with? MacOS Release Dates Features Updates AppleInsider. It in order of a version of what to safari when using an ssd and cookies to alter the mac versions. List of macOS version names OS X 10 beta Kodiak 13 September 2000 OS X 100 Cheetah 24 March 2001 OS X 101 Puma 25. -
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.