Picturing Gentrification: Representation of Urban Change, Pendleton Salford

The paper examines how visual representations of urban regeneration contribute to the gentrification process. It asks can alternative photographic and textual strategies provide a meaningful counter narrative to resist persuasive corporate discourses on urban revitalization? Focusing on the gentrification of social housing in Pendleton, Salford (Greater Manchester) the paper debates the role of visual imagery in fostering perceptions about urban change by evaluating fieldwork undertaken by the authors in the site since 2004. The paper will question whether such an in-depth longitudinal project and its consequent archive can be utilized as a political tool to highlight the wider processes involved in such regimes of disinvestment and accumulation. Through the combination of photography and site writing in the environment can certain economic and political processes be made legible if not fully visible to highlight causation and effect?

Mem Tri: Memory Forensics Triage Tool

This work explores the development of MemTri. A memory forensics triage tool that can assess the likelihood of criminal activity in a memory image, based on evidence data artefacts generated by several applications. Fictitious illegal suspect activity scenarios were performed on virtual machines to generate 60 test memory images for input into MemTri. Four categories of applications (i.e. Internet Browsers, Instant Messengers, FTP Client and Document Processors) are examined for data artefacts located through the use of regular expressions. These identified data artefacts are then analysed using a Bayesian Network, to assess the likelihood that a seized memory image contained evidence of illegal activity. Currently, MemTri is under development and this paper introduces only the basic concept as well as the components that the application is built on. A complete description of MemTri coupled with extensive experimental results is expected to be published in the first semester of 2017.