title: Book review: Mates and lovers: a history of gay New Zealand

authors: Johnston, Lynda

subjects: book review

abstract: This article reviews the book: “Mates and lovers: a history of gay New Zealand”, edited by Chris Brickell.

text: Book review: Mates and lovers: a history of gay New Zealand This article reviews the book: “Mates and lovers: a history of gay New Zealand”, edited by Chris Brickell.

year: 2011

title: Inferring User Actions from Provenance Logs

authors: Li, Xin

abstract: Progger, a kernel-spaced cloud data provenance logger which provides fine-grained data activity records, was recently developed to empower cloud stakeholders to trace data life cycles within and across clouds. Progger logs have the potential to allow analysts to infer user actions and create a data-centric behaviour history in a cloud computing environment. However, the Progger logs are complex and noisy and therefore, currently this potential can not be met. This paper proposes a statistical approach to efficiently infer the user actions from the Progger logs. Inferring logs which capture activities at kernel-level granularity is not a straightforward endeavour. This paper overcomes this challenge through an approach which shows a high level of accuracy. The key aspects of this approach are identifying the data preprocessing steps and attribute selection. We then use four standard classification models and identify the model which provides the most accurate inference on user actions. To our best knowledge, this is the first work of its kind. We also discuss a number of possible extensions to this work. Possible future applications include the ability to predict an anomalous security activity before it occurs.

text: Inferring User Actions from Provenance Logs Progger, a kernel-spaced cloud data provenance logger which provides fine-grained data activity records, was recently developed to empower cloud stakeholders to trace data life cycles within and across clouds. Progger logs have the potential to allow analysts to infer user actions and create a data-centric behaviour history in a cloud computing environment. However, the Progger logs are complex and noisy and therefore, currently this potential can not be met. This paper proposes a statistical approach to efficiently infer the user actions from the Progger logs. Inferring logs which capture activities at kernel-level granularity is not a straightforward endeavour. This paper overcomes this challenge through an approach which shows a high level of accuracy. The key aspects of this approach are identifying the data preprocessing steps and attribute selection. We then use four standard classification models and identify the model which provides the most accurate inference on user actions. To our best knowledge, this is the first work of its kind. We also discuss a number of possible extensions to this work. Possible future applications include the ability to predict an anomalous security activity before it occurs.

year: 2015

title: Moonwalking "Backwards into the Future": 'Poi E,' Music Video, and Documentary

authors: Perrott, Lisa

subjects: Art

abstract: Explores how contemporary music videos travel across, shape, and transform various media, online platforms, art institutions, and cultural industries

text: Moonwalking "Backwards into the Future": 'Poi E,' Music Video, and Documentary Explores how contemporary music videos travel across, shape, and transform various media, online platforms, art institutions, and cultural industries

year: 2023-11-02