This report is the result of a scoping study undertaken as part of an Australian Department of Defence Next Generation Technologies Fund (NGTF) project entitled Adversarial Machine Learning for Cyber- Security (AMLC).

This report explores how data (from sensors) can be exploited into actions (for shooters) over different paths, and sensors connected to shooters just-in-time vs just-in-case.

This paper explores the definition of non-traditional sensing (NTS), some of the technologies that are typically associated with NTS and, ultimately, questions the need for NTS as a concept.

This technical note is a review of current open literature regarding covert timing channels over network traffic.

This report presents the findings of an azimuth elevation survey to determine the minimum safe elevations for antenna pointing and signal transmission.

This technical note considers processes that alternate randomly between 'working' and 'broken' over an interval of time.

In this report the use of Machine Learning (ML) techniques in Software Vulnerability Research (SVR) is investigated, discussing previous and current efforts to illustrate how ML is utilised by academia and industry in this area.

This report is a summary of the populations sampled, methodologies used, measurements taken, and key results of all formally reported and catalogued ADF anthropometric surveys.