Black Life Mater: Debunked!

The Black Lives Matter movement emerged in 2012 to combat racial targeting after the death of Trayvon Martin. The purpose of the movement, according to the Black Lives Matter Guiding Principles, is to serve as “an ideological and political intervention in a world where Black lives are systematically and intentionally targeted for demise” and “an affirmation of Black folks’ contributions to this society, our humanity, and our resilience in the face of deadly oppression.” From meetings with Democratic National Convention leaders, to attending a meeting at the White House at the invitation of the President, the Black Lives Matter movement is making strides in eliminating racial profiling in our society

Logistics hardware and services control system

Software system permits onsite direct control of logistics operations, which include spare parts, initial installation, tool control, and repairable parts status and control, through all facets of operations. System integrates logistics actions and controls receipts, issues, loans, repairs, fabrications, and modifications and assets in predicting and allocating logistics parts and services effectively

A framework for the forensic investigation of unstructured email relationship data

Our continued reliance on email communications ensures that it remains a major source of evidence during a digital investigation. Emails comprise both structured and unstructured data. Structured data provides qualitative information to the forensics examiner and is typically viewed through existing tools. Unstructured data is more complex as it comprises information associated with social networks, such as relationships within the network, identification of key actors and power relations, and there are currently no standardised tools for its forensic analysis. Moreover, email investigations may involve many hundreds of actors and thousands of messages. This paper posits a framework for the forensic investigation of email data. In particular, it focuses on the triage and analysis of unstructured data to identify key actors and relationships within an email network. This paper demonstrates the applicability of the approach by applying relevant stages of the framework to the Enron email corpus. The paper illustrates the advantage of triaging this data to identify (and discount) actors and potential sources of further evidence. It then applies social network analysis techniques to key actors within the data set. This paper posits that visualisation of unstructured data can greatly aid the examiner in their analysis of evidence discovered during an investigation