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<i>Information and Communications Technology (ICT) has made major advances in linking physical
dimension through information to cognitive dimension as described by John Perry et al. (2004) in
their model for Information Superiority. The information technology linkage between the physical
and cognitive dimensions has created new ways of effect both for the red and blue force.</i><br><br>
<i>The paper focuses on the information dimension and searches for better models to describe
the structure of blue force information, especially from the Enterprise Architecture (EA)
approach. Enterprise Architecture has been developed to better communicate the complex
structures of military capabilities. Major EA frameworks (TOGAF, DODAF) recognise
the layer of information between business and technology, but in practice, the focus turns
more to the technology as has happened in several Command, Control, Communications,
Computing, Information, Surveillance, and Reconnaissance (C4ISR) and Enterprise Resource
Management (ERM) programmes. The paper develops a tool for architects to use in measuring
the maturity of information management in the current military organisation and in defining
the possible paths of evolution in information management available for the military.</i><br><br>
<i>The outcome of this paper is a roadmap picturing the evolution of military information
management. Enterprise Architects may use the roadmap in analysing and developing
both C4ISR and ERM capabilities in military organisations. The primary research question
for this paper is: What may cause so many failures in defining Enterprise Architecture at
information management level and then in implementing C4ISR and ERM tools?</i><br><br>
<i>The paper first defines six stages for management of unstructured information from various
former studies and information architecture models (Cook, 1996). The basic stages of
evolution of unstructured information are defined as print, file, page, social media content,
semantic content, and intelligent content.<i><br><br>
<i>These six stages and a generic military structure are processed through an evolutionary
model derived from evolutionary theory for technical development described by Joel Mokyr
(1998). The Mokyr model helps to recognise the paths of evolution, the forces that may
influence the development and the ways that have been taken in achieving goals.</i><br><br>
<i>The outcome is a roadmap that describes the evolution of past and possible future for
military information management and explains different drivers and constraints on roads.
The roadmap is aligned with other similar roadmap tools Enterprise Architects are using.
The roadmap is further tested against experiences gained from several C4ISR and ERM
focused military transformations. The overall research approach follows the hypothetico-
deductive model (Brody, 1993) and the roadmap part applies the theory of evolution in
sociotechnical systems (Bertalanffy, 1969).<i><br><br>
<i>Military organisations have followed the general evolutionary path (print – file – page
– social media content – semantic – intelligent content) in developing their management of
unstructured information. The general path includes two definite leaps that require more
effort: 1) from files to pages, and 2) from unstructured content to more structured content.
There have also been more discrete shortcuts together with downgrades defined by cultural
and doctrinal powers of the force.<i><br><br>
<i>Meanwhile, it is possible to accelerate evolution by taking shortcuts. A consistent effort to
change technology, processes, and people at the same time is needed when, for example,
taking force from publish-pull pages to semantic information management. It might be easier
to start with structured information and then, gradually, include unstructured information.</i><br><br>
<i>Strong forces may also pull back already achieved development if the change has not been
made to stick properly. Losing the thin trust for shared information management early in
implementation may prevent individuals from sharing for a long time. Not providing the
expected level of availability of the service for the knowledge base may lose the confidence
of process owners.</i><br><br>
<i>Since information is essential for cognitive level sense making, decision making, and learning,
Enterprise Architects should include information maturity in their roadmaps of technical
and business process development. The roadmap for military information management is to help analysis of the current situation and provide possible paths towards future stages
aligned through business, information, and technical layers.<i><br><br>
<i>The research in this paper only covers the approach of evolution. The systems and
business strategy approached are studied in other papers. This article does not illustrate
the integrated roadmap of business, information, and technology, which can be found in
further papers by the writers. The research is based mainly on qualitative data in proving
the roadmap. There is room for further assurance when the information sharing cultures of
the military are enabling it.</i>

Intro -- Foreword -- Contents -- Emulation Versus Instrumentation for Android Malware Detection -- 1 Introduction -- 2 Background -- 2.1 Static and Dynamic Features -- 2.2 Emulation -- 2.3 Selected Android Malware Research -- 3 Methodology -- 3.1 Datasets -- 3.2 Feature Extraction -- 3.3 Machine Learning Models -- 3.4 Evaluation Metrics -- 4 Experiments and Results -- 4.1 Emulation Versus Instrumentation -- 4.2 Binary Classification Experiments -- 4.3 Multiclass Experiments -- 5 Conclusion and Future Work -- References -- Towards a Generic Approach of Quantifying Evidence Volatility in Resource Constrained Devices -- 1 Introduction -- 2 Related Work -- 3 Volatility in IoT Devices -- 3.1 Data Volatility -- 3.2 A Model for Data Volatility -- 3.3 Information Volatility -- 3.4 Forensic Resources -- 4 A Statistical Approach to Data Volatility -- 4.1 Exponential Distribution -- 4.2 Weibull Distribution -- 4.3 Series and Parallel Systems -- 4.4 Probability Distribution Fitting -- 5 Example: Contiki-NG -- 6 Summary and Conclusions -- References -- Application of Artificial Intelligence and Machine Learning in Producing Actionable Cyber Threat Intelligence -- 1 Introduction -- 2 Cyber Threat Intelligence -- 2.1 Overview of CTI -- 2.2 Types of Threat Intelligence -- 2.3 Benefits of Cyber Threat Intelligence -- 3 Cyber Threat Intelligence Cycle -- 3.1 Planning and Direction -- 3.2 Collection -- 3.3 Processing and Exploitation -- 3.4 Analysis and Production -- 3.5 Dissemination and Integration -- 3.6 Feedback -- 4 Application of Artificial Intelligence and Machine Learning in Producing Actionable CTI -- 5 Discussion -- 6 Conclusion -- References -- Drone Forensics: The Impact and Challenges -- 1 Introduction -- 1.1 Unmanned Aerial Vehicles -- 1.2 Current Threats and Impact of UAVs -- 1.3 Legal Implications -- 1.4 Motivation.

AbstractThis paper presents the development of an automated machine learning approach to gain an understanding of the built environment and its relationship to crime. This involves the automatic capture of street-level photographs using Google Street View (GSV), followed by the use of supervised machine learning techniques (specifically image feature recognition) to recognise features of the built environment. In this exploratory proof-of-concept work, 8 key features (building, door, fence, streetlight, tree, window, hedge, and garage) are considered and a worked case-study is demonstrated for a small geographical area (8300 square kilometres) in Northern England. A total of 60,100 images were automatically collected and analysed across the area where 5288 crime incidents were reported over a twelve-month period. Dependency between features and crime incidents are measured; however, no strong correlation has been identified. This is unsurprisingly considering the high number of crime incidents in a small geographic region (8300 square kilometres), resulting in an overlap between specific features and multiple crime incidents. Furthermore, due to the unknown precise location of crime instances, an approximation technique is developed to survey a crime's local proximity. Despite the absence of a strong correlation, this paper presents a first-of-a-kind cross-discipline approach to attempt and use computation techniques to produce new empirical knowledge. There are many avenues of future research in this fertile and important area.

The World Resource Institute estimates that Spain will become a severely water stressed region by 2030 in all of its future scenarios considered. Getting water to the south-eastern basins will become a top political concern of critical importance. The issue is not a new one and several strategies have been proposed in the past, the most famous being the Ebro-River basin transfer program and the AGUA program each supported by different governments. In addition to the need for physical water in the southern basins the situation is complicated further by the possibility of different energy pathways taken by Spain in meeting emission requirements and other EU regulations. This paper explores the different options for water security, while considering the impacts of climate change on temperature, water availability and power plant cooling needs as well as the impacts of different energy strategies such as the penetration of nuclear, biofuels and other renewable technologies into the energy mix. The water strategies considered include combinations of inter-basin transfers, desalination, groundwater pumping, rain-water harvesting, reuse as well as end user demand management in both the energy and water sectors. A fully integrated water-energy nexus model, SPATNEX, is used to analyze the coupled water-energy system. The model accounts for the complete life-cycle of both systems and is both spatially and temporally dis-aggregated. Optimal strategies for different scenarios are explored and a robust combination of the different options available are proposed to deal with a range of situations. ; info:eu-repo/semantics/draft