The Experts below are selected from a list of 11784 Experts worldwide ranked by ideXlab platform

Peter Mckain - One of the best experts on this subject based on the ideXlab platform.

  • A Forensic Examination of web browser privacy-modes
    Forensic Science International: Reports, 2019
    Co-Authors: Graeme Horsman, Ben Findlay, Josh Edwick, Alisha Asquith, Katherine Swannell, Dean Fisher, Alexander Grieves, Jack Guthrie, Dylan Stobbs, Peter Mckain
    Abstract:

    Abstract Private browsing facilities are part of many mainstream Internet browsing applications and arguably, there is now more awareness of their function and purpose by the average Internet user. As a result the potential for those engaging in malicious and/or illegal browsing behaviours, to do so in a ‘privatised’ way is increased. Many private browsing modes are designed to be ‘locally private’, preventing data denoting a user’s browsing actions from being stored on their device. Such actions, potentially compromise the availability of any evidential data, provide an investigatory headache. This work documents the Examination of 30 web browsers to determine the presence of a ‘private mode’, and where available, the ‘privateness’ of said mode. Our test methodology is documented and results and limitations described for the purpose of open, transparent scrutiny and evaluation from those operating in this area.

Pierre K. Y. Lai - One of the best experts on this subject based on the ideXlab platform.

  • Protecting Digital Data Privacy in Computer Forensic Examination
    2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, 2011
    Co-Authors: Frank Y.w. Law, Patrick P. F. Chan, Hayson K.s. Tse, Siu-ming Yiu, K P Chow, Michael Y. K. Kwan, Pierre K. Y. Lai
    Abstract:

    Privacy is a fundamental human right defined in the Universal Declaration of Human Rights. To enable the protection of data privacy, personal data that are not related to the investigation subject should be excluded during computer Forensic Examination. In the physical world, protection of privacy is controlled and regulated in most countries by laws. Legislation for handling private data has been established in various jurisdictions. In the modern world, the massive use of computers generates a huge amount of private data and there is correspondingly an increased expectation to recognize and respect human rights in digital investigation. However, there does not exist a Forensically sound model for protecting private data in the context of digital investigation, and it poses a threat to privacy if the investigation involves the processing of such kind of data. In this paper, we try to address this important issue and present a cryptographic model designed to be incorporated into the current digital investigation framework, thereby adding a possible way to protect data privacy in digital investigation.

  • SADFE - Protecting Digital Data Privacy in Computer Forensic Examination
    2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, 2011
    Co-Authors: Frank Y.w. Law, Patrick P. F. Chan, Siu-ming Yiu, K P Chow, Michael Y. K. Kwan, Hayson Tse, Pierre K. Y. Lai
    Abstract:

    Session 1: Forensic Modeling and Framework: no. 3Privacy is a fundamental human right defined in the Universal Declaration of Human Rights. To enable the protection of data privacy, personal data that are not related to the investigation subject should be excluded during computer Forensic Examination. In the physical world, protection of privacy is controlled and regulated in most countries by laws. Legislation for handling private data has been established in various jurisdictions. In the modern world, the massive use of computers generates a huge amount of private data and there is correspondingly an increased expectation to recognize and respect human rights in digital investigation. However, there does not exist a Forensically sound model for protecting private data in the context of digital investigation, and it poses a threat to privacy if the investigation involves the processing of such kind of data. In this paper, we try to address this important issue and present a cryptographic model designed to be incorporated into the current digital investigation framework, thereby adding a possible way to protect data privacy in digital investigation. © 2011 IEEE.link_to_subscribed_fulltex

Graeme Horsman - One of the best experts on this subject based on the ideXlab platform.

  • A Forensic Examination of web browser privacy-modes
    Forensic Science International: Reports, 2019
    Co-Authors: Graeme Horsman, Ben Findlay, Josh Edwick, Alisha Asquith, Katherine Swannell, Dean Fisher, Alexander Grieves, Jack Guthrie, Dylan Stobbs, Peter Mckain
    Abstract:

    Abstract Private browsing facilities are part of many mainstream Internet browsing applications and arguably, there is now more awareness of their function and purpose by the average Internet user. As a result the potential for those engaging in malicious and/or illegal browsing behaviours, to do so in a ‘privatised’ way is increased. Many private browsing modes are designed to be ‘locally private’, preventing data denoting a user’s browsing actions from being stored on their device. Such actions, potentially compromise the availability of any evidential data, provide an investigatory headache. This work documents the Examination of 30 web browsers to determine the presence of a ‘private mode’, and where available, the ‘privateness’ of said mode. Our test methodology is documented and results and limitations described for the purpose of open, transparent scrutiny and evaluation from those operating in this area.

  • A Forensic Examination of Online Search Facility URL Record Structures
    Journal of forensic sciences, 2018
    Co-Authors: Graeme Horsman
    Abstract:

    The use of search engines and associated search functions to locate content online is now common practice. As a result, a Forensic Examination of a suspect’s online search activity can be a critical aspect in establishing whether an offense has been committed in many investigations. This article offers an analysis of online search URL structures to support law enforcement and associated digital Forensics practitioners interpret acts of online searching during an investigation. Google, Bing, Yahoo!, and DuckDuckGo searching functions are examined, and key URL attribute structures and metadata have been documented. In addition, an overview of social media searching covering Twitter, Facebook, Instagram, and YouTube is offered. Results show the ability to extract embedded metadata from search engine URLs which can establish online searching behaviors and the timing of searches.

Frank Y.w. Law - One of the best experts on this subject based on the ideXlab platform.

  • Protecting Digital Data Privacy in Computer Forensic Examination
    2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, 2011
    Co-Authors: Frank Y.w. Law, Patrick P. F. Chan, Hayson K.s. Tse, Siu-ming Yiu, K P Chow, Michael Y. K. Kwan, Pierre K. Y. Lai
    Abstract:

    Privacy is a fundamental human right defined in the Universal Declaration of Human Rights. To enable the protection of data privacy, personal data that are not related to the investigation subject should be excluded during computer Forensic Examination. In the physical world, protection of privacy is controlled and regulated in most countries by laws. Legislation for handling private data has been established in various jurisdictions. In the modern world, the massive use of computers generates a huge amount of private data and there is correspondingly an increased expectation to recognize and respect human rights in digital investigation. However, there does not exist a Forensically sound model for protecting private data in the context of digital investigation, and it poses a threat to privacy if the investigation involves the processing of such kind of data. In this paper, we try to address this important issue and present a cryptographic model designed to be incorporated into the current digital investigation framework, thereby adding a possible way to protect data privacy in digital investigation.

  • SADFE - Protecting Digital Data Privacy in Computer Forensic Examination
    2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, 2011
    Co-Authors: Frank Y.w. Law, Patrick P. F. Chan, Siu-ming Yiu, K P Chow, Michael Y. K. Kwan, Hayson Tse, Pierre K. Y. Lai
    Abstract:

    Session 1: Forensic Modeling and Framework: no. 3Privacy is a fundamental human right defined in the Universal Declaration of Human Rights. To enable the protection of data privacy, personal data that are not related to the investigation subject should be excluded during computer Forensic Examination. In the physical world, protection of privacy is controlled and regulated in most countries by laws. Legislation for handling private data has been established in various jurisdictions. In the modern world, the massive use of computers generates a huge amount of private data and there is correspondingly an increased expectation to recognize and respect human rights in digital investigation. However, there does not exist a Forensically sound model for protecting private data in the context of digital investigation, and it poses a threat to privacy if the investigation involves the processing of such kind of data. In this paper, we try to address this important issue and present a cryptographic model designed to be incorporated into the current digital investigation framework, thereby adding a possible way to protect data privacy in digital investigation. © 2011 IEEE.link_to_subscribed_fulltex

Alexander Grieves - One of the best experts on this subject based on the ideXlab platform.

  • A Forensic Examination of web browser privacy-modes
    Forensic Science International: Reports, 2019
    Co-Authors: Graeme Horsman, Ben Findlay, Josh Edwick, Alisha Asquith, Katherine Swannell, Dean Fisher, Alexander Grieves, Jack Guthrie, Dylan Stobbs, Peter Mckain
    Abstract:

    Abstract Private browsing facilities are part of many mainstream Internet browsing applications and arguably, there is now more awareness of their function and purpose by the average Internet user. As a result the potential for those engaging in malicious and/or illegal browsing behaviours, to do so in a ‘privatised’ way is increased. Many private browsing modes are designed to be ‘locally private’, preventing data denoting a user’s browsing actions from being stored on their device. Such actions, potentially compromise the availability of any evidential data, provide an investigatory headache. This work documents the Examination of 30 web browsers to determine the presence of a ‘private mode’, and where available, the ‘privateness’ of said mode. Our test methodology is documented and results and limitations described for the purpose of open, transparent scrutiny and evaluation from those operating in this area.