The Experts below are selected from a list of 17241 Experts worldwide ranked by ideXlab platform

Ernedin Zajko - One of the best experts on this subject based on the ideXlab platform.

  • Combining Static and Live Digital Forensic Analysis in Virtual Environment
    2012
    Co-Authors: Sasa Mrdovic, Alvin Huseinovic, Ernedin Zajko
    Abstract:

    Abstract—Traditional digital forensics is performed through static analysis of data preserved on permanent storage media. Not all data needed to understand the state of examined system exists in nonvolatile memory. Live analysis uses running system to obtain volatile data for deeper understanding of events going on. Sampling running system might irreversibly change its state making collected evidence invalid. This paper proposes combination of static and live analysis. Virtualization is used to bring static data to life. Volatile memory dump is used to enable offline analysis of live data. Using data from memory dump, virtual machine created from static data can be adjusted to provide better picture of the live system at the time when the dump was made. Investigator can have Interactive Session with virtual machine without violating evidence integrity. Tests with sample system confirm viability of proposed approach. Keywords-forensics; hard disk image; volatile memory dump; virtual machine;hibernation; I

  • combining static and live digital forensic analysis in virtual environment
    2009 XXII International Symposium on Information Communication and Automation Technologies, 2009
    Co-Authors: Sasa Mrdovic, Alvin Huseinovic, Ernedin Zajko
    Abstract:

    Traditional digital forensics is performed through static analysis of data preserved on permanent storage media. Not all data needed to understand the state of examined system exists in nonvolatile memory. Live analysis uses running system to obtain volatile data for deeper understanding of events going on. Sampling running system might irreversibly change its state making collected evidence invalid. This paper proposes combination of static and live analysis. Virtualization is used to bring static data to life. Volatile memory dump is used to enable offline analysis of live data. Using data from memory dump, virtual machine created from static data can be adjusted to provide better picture of the live system at the time when the dump was made. Investigator can have Interactive Session with virtual machine without violating evidence integrity. Tests with sample system confirm viability of proposed approach.

Sasa Mrdovic - One of the best experts on this subject based on the ideXlab platform.

  • Combining Static and Live Digital Forensic Analysis in Virtual Environment
    2012
    Co-Authors: Sasa Mrdovic, Alvin Huseinovic, Ernedin Zajko
    Abstract:

    Abstract—Traditional digital forensics is performed through static analysis of data preserved on permanent storage media. Not all data needed to understand the state of examined system exists in nonvolatile memory. Live analysis uses running system to obtain volatile data for deeper understanding of events going on. Sampling running system might irreversibly change its state making collected evidence invalid. This paper proposes combination of static and live analysis. Virtualization is used to bring static data to life. Volatile memory dump is used to enable offline analysis of live data. Using data from memory dump, virtual machine created from static data can be adjusted to provide better picture of the live system at the time when the dump was made. Investigator can have Interactive Session with virtual machine without violating evidence integrity. Tests with sample system confirm viability of proposed approach. Keywords-forensics; hard disk image; volatile memory dump; virtual machine;hibernation; I

  • combining static and live digital forensic analysis in virtual environment
    2009 XXII International Symposium on Information Communication and Automation Technologies, 2009
    Co-Authors: Sasa Mrdovic, Alvin Huseinovic, Ernedin Zajko
    Abstract:

    Traditional digital forensics is performed through static analysis of data preserved on permanent storage media. Not all data needed to understand the state of examined system exists in nonvolatile memory. Live analysis uses running system to obtain volatile data for deeper understanding of events going on. Sampling running system might irreversibly change its state making collected evidence invalid. This paper proposes combination of static and live analysis. Virtualization is used to bring static data to life. Volatile memory dump is used to enable offline analysis of live data. Using data from memory dump, virtual machine created from static data can be adjusted to provide better picture of the live system at the time when the dump was made. Investigator can have Interactive Session with virtual machine without violating evidence integrity. Tests with sample system confirm viability of proposed approach.

Tia Kostas - One of the best experts on this subject based on the ideXlab platform.

  • improving medication management competency of clinical trainees in geriatrics
    Journal of the American Geriatrics Society, 2014
    Co-Authors: Tia Kostas, Kristin M Zimmerman, Marci J Salow, Mark Simone, Natalie Whitmire, James L Rudolph, Graham T Mcmahon
    Abstract:

    The authors hypothesized that an interprofessional workshop would improve geriatrics trainees' medication management. The workshop was based on a needs assessment and comprised an Interactive Session with pharmacists on managing medications in elderly adults. Participants were trainees in their geriatrics rotation at a tertiary care medical center. Trainees completed a medication appropriateness survey for three patients, one of which was their own. After the workshop, trainees reviewed medications of the three patients. Trainees completed online surveys after their rotation and 3 months later. Of 95 trainees rotating through geriatrics, 76 (80%) attended the workshop and completed the worksheet. Trainees' scores on reviewing medication lists improved significantly, from 6.7 ± 2.3 to 7.7 ± 2.0 out of 11 for standardized patient 1 (P < .001) and from 5.7 ± 1.8 to 6.4 ± 1.5 out of 11 for standardized patient 2 (P = .009). Trainees' scores on their own patients' lists also improved significantly, from 5.6 ± 1.5 to 6.6 ± 1.5 out of 10 (P < .001). After the workshop, 95% (71/75) planned to change the medication regimen of the patient they presented, and 93% (68/73) planned to change other patients' medications based on information learned during the workshop. Three months later, 35% (12/34) had made changes to the regimen of the patient they discussed during the workshop, and 71% (15/21) had made changes to other patients' regimens. Seventy-eight percent (18/23) rated the workshop as the top nonclinical experience of their geriatrics rotation. In conclusion, this interprofessional medication management workshop improved trainees' ability to perform medication reviews accurately and led to change in self-reported prescribing behavior.

Alvin Huseinovic - One of the best experts on this subject based on the ideXlab platform.

  • Combining Static and Live Digital Forensic Analysis in Virtual Environment
    2012
    Co-Authors: Sasa Mrdovic, Alvin Huseinovic, Ernedin Zajko
    Abstract:

    Abstract—Traditional digital forensics is performed through static analysis of data preserved on permanent storage media. Not all data needed to understand the state of examined system exists in nonvolatile memory. Live analysis uses running system to obtain volatile data for deeper understanding of events going on. Sampling running system might irreversibly change its state making collected evidence invalid. This paper proposes combination of static and live analysis. Virtualization is used to bring static data to life. Volatile memory dump is used to enable offline analysis of live data. Using data from memory dump, virtual machine created from static data can be adjusted to provide better picture of the live system at the time when the dump was made. Investigator can have Interactive Session with virtual machine without violating evidence integrity. Tests with sample system confirm viability of proposed approach. Keywords-forensics; hard disk image; volatile memory dump; virtual machine;hibernation; I

  • combining static and live digital forensic analysis in virtual environment
    2009 XXII International Symposium on Information Communication and Automation Technologies, 2009
    Co-Authors: Sasa Mrdovic, Alvin Huseinovic, Ernedin Zajko
    Abstract:

    Traditional digital forensics is performed through static analysis of data preserved on permanent storage media. Not all data needed to understand the state of examined system exists in nonvolatile memory. Live analysis uses running system to obtain volatile data for deeper understanding of events going on. Sampling running system might irreversibly change its state making collected evidence invalid. This paper proposes combination of static and live analysis. Virtualization is used to bring static data to life. Volatile memory dump is used to enable offline analysis of live data. Using data from memory dump, virtual machine created from static data can be adjusted to provide better picture of the live system at the time when the dump was made. Investigator can have Interactive Session with virtual machine without violating evidence integrity. Tests with sample system confirm viability of proposed approach.

Joseph Rosen - One of the best experts on this subject based on the ideXlab platform.

  • an Interactive Session using a tool to support distributed conversations around digital video
    Computer Supported Collaborative Learning, 2007
    Co-Authors: Roy Pea, Shelley Goldman, Robb Lindgren, Joseph Rosen
    Abstract:

    Workshop Theme and Objectives Jordan and Henderson (1995) outline a research methodology they term interaction analysis—a powerful method for investigating human activity in which a group of researchers come together in a meeting to offer their insights on some video recorded event. Although the interaction analysis approach proved to be highly influential for ethnographers and other social scientists, it was limited by the technologies available at the time of Jordan and Henderson’s writing (VHS tapes, etc.). Reconstructing the contextually grounded insights of researchers can be an onerous task, not to mention the challenge of accommodating the schedules of several busy researchers. Fortunately, the decreasing costs and increased accessibility of digital video technologies has made it possible to support fluid conversations around a video record without the constraints of an in-person meeting. Pea, Lindgren, and Rosen (2006) present a framework for enhancing interaction analysis with internet technologies that they term computersupported collaborative video analysis (CSCVA). They also describe a software environment designed to facilitate CSCVA in the research community called DIVER (Digital Interactive Video Exploration and Reflection). The purpose of this Session will be introduce to participants the theoretical issues around CSCVA and give them practice collaborating on video analysis using the DIVER platform. Session participants will have access to a large video data corpus that we have collected on families discussing the role that mathematics plays in activity at home. The goal of the Session is to build fluency among participants with CSCVA tools and to have them recognize the potential for using these types of tools to improve and expand their research practices.