Cloud Forecasting: Legal Visibility Issues in Saturated Environments

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dc.contributor.authorBrown, Adam J.
dc.contributor.authorGlisson, William Bradley
dc.contributor.authorAndel, Todd R.
dc.contributor.authorChoo, Kim-Kwang Raymond
dc.date.accessioned2018-10-08T15:28:29Z
dc.date.available2018-10-08T15:28:29Z
dc.date.issued2018
dc.descriptionThis is the post-print version of this article to see the final version see the following citation: Adam J. Brown et al., Cloud forecasting: Legal visibility issues in saturated environments, Computer Law & Security Review: The International Journal of Technology Law and Practice (2018), https://doi.org/10.1016/j.clsr.2018.05.031
dc.description.abstractThe advent of cloud computing has brought the computing power of corporate data pro- cessing and storage centers to lightweight devices. Software-as-a-service cloud subscribers enjoy the convenience of personal devices along with the power and capability of a service. Using logical as opposed to physical partitions across cloud servers, providers supply flexible and scalable resources. Furthermore, the possibility for multitenant accounts promises considerable freedom when establishing access controls for cloud content. For forensic analysts conducting data acquisition, cloud resources present unique challenges. Inherent proper- ties such as dynamic content, multiple sources, and nonlocal content make it difficult for a standard to be developed for evidence gathering in satisfaction of United States federal evidentiary standards in criminal litigation. Development of such standards, while essential for reliable production of evidence at trial, may not be entirely possible given the guarantees to privacy granted by the Fourth Amendment and the Electronic Communications Privacy Act. Privacy of information on a cloud is complicated because the data is stored on resources owned by a third-party provider, accessible by users of an account group, and monitored according to a service level agreement. This research constructs a balancing test for competing considerations of a forensic investigator acquiring information from a cloud.en_US
dc.description.departmentComputer Science
dc.identifier.citationAdam J. Brown et al., Cloud forecasting: Legal visibility issues in saturated environments, Computer Law & Security Review: The International Journal of Technology Law and Practice (2018), https://doi.org/10.1016/j.clsr.2018.05.031en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11875/2421
dc.language.isoen_USen_US
dc.publisherComputer Law & Security Reviewen_US
dc.subjectCloud forensicsen_US
dc.subjectPrivacyen_US
dc.subjectLegalen_US
dc.subjectEvidenceen_US
dc.titleCloud Forecasting: Legal Visibility Issues in Saturated Environmentsen_US
dc.typeArticleen_US

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