Governing Privacy in Knowledge Commons

Scholars from various disciplines explore privacy governance using the Governing Knowledge Commons framework. Case studies drawn from contexts such as academia, social media, mental health, and IoT provide insights into how privacy shapes community knowledge production. This title is also available as Open Access on Cambridge Core

Externalities and Enterprise Software: Helping and Hindering Legal Compliance

Enterprise software helps organizations comply with laws and regulations, yet software itself creates negative externalities that can undermine rights and laws. Software developers are an important regulatory force, yet many know little about how law and software interact. This work examines developer understanding of legal concepts and examples of the software code and law relationship: payroll, Sarbanes Oxley Act, web accessibility, and data protection

Tackling the barriers to achieving Information Assurance

A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.This original, reflective practitioner study researched whether professionalising IA could be successfully achieved, in line with the UK Cyber Security Strategy expectations. The context was an observed changing dominant narrative from IA to cybersecurity. The research provides a dialectical relationship with the past to improve IA understanding. The Academic contribution: Using archival and survey data, the research traced the origins of the term IA and its practitioner usage, in the context of the increasing use of the neologism of cybersecurity, contributing to knowledge through historical research. Discourse analysis of predominantly UK government reports, policy direction, legislative and regulatory changes, reviewing texts to explore the functions served by specific constructions, mainly Information Security (Infosec) vs IA. The Researcher studied how accounts were linguistically constructed in terms of the descriptive, referential and rhetorical language used, and the function that serves. The results were captured in a chronological review of IA ontology. The Practitioner contribution: Through an initial Participatory Action Research (PAR) public sector case study, the researcher sought to make sense of how the IA profession operates and how it was maturing. Data collection from self-professed IA practitioners provided empirical evidence. The researcher undertook evolutionary work analysing survey responses and developed theories from the analysis to answer the research questions. The researcher observed a need to implement a unified approach to Information Governance (IG) on a large organisation-wide scale. Using a constructivist grounded theory the researcher developed a new theoretical framework - i3GRC™ (Integrated and Informed Information Governance, Risk, and Compliance) - based on what people actually say and do within the IA profession. i3GRC™ supports the required Information Protection (IP) through maturation from IA to holistic IG. Again, using PAR, the theoretical framework was tested through a private sector case study, the resultant experience strengthening the bridge between academia and practitioners

Development of a real-time business intelligence (BI) framework based on hex-elementization of data points for accurate business decision-making

The desire to use business intelligence (BI) to enhance efficiency and effectiveness of business decisions is neither new nor revolutionary. The promise of BI is to provide the ability to capture interrelationship from data and information to guide action towards a business goal. Although BI has been around since the 1960s, businesses still cannot get competitive information in the form they want, when they want and how they want. Business decisions are already full of challenges. The challenges in business decision-making include the use of a vast amount of data, adopting new technologies, and making decisions on a real-time basis. To address these challenges, businesses spend valuable time and resources on data, technologies and business processes. Integration of data in decision-making is crucial for modern businesses. This research aims to propose and validate a framework for organic integration of data into business decision-making. This proposed framework enables efficient business decisions in real-time. The core of this research is to understand and modularise the pre-established set of data points into intelligent and granular “hex-elements” (stated simply, hex-element is a data point with six properties). These intelligent hex-elements build semi-automatic relationships using their six properties between the large volume and high-velocity data points in a dynamic, automated and integrated manner. The proposed business intelligence framework is called “Hex-Elementization” (or “Hex-E” for short). Evolution of technology presents ongoing challenges to BI. These challenges emanate from the challenging nature of the underlying new-age data characterised by large volume, high velocity and wide variety. Efficient and effective analysis of such data depends on the business context and the corresponding technical capabilities of the organisation. Technologies like Big Data, Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), play a key role in capitalising on the variety, volume and veracity of data. Extricating the “value” from data in its various forms, depth and scale require synchronizing technologies with analytics and business processes. Transforming data into useful and actionable intelligence is the discipline of data scientists. Data scientists and data analysts use sophisticated tools to crunch data into information which, in turn, are converted into intelligence. The transformation of data into information and its final consumption as actionable business intelligence is an end-to-end journey. This end-to-end transformation of data to intelligence is complex, time-consuming and resource-intensive. This research explores approaches to ease the challenges the of end-to-end transformation of data into intelligence. This research presents Hex-E as a simplified and semi-automated framework to integrate, unify, correlate and coalesce data (from diverse sources and disparate formats) into intelligence. Furthermore, this framework aims to unify data from diverse sources and disparate formats to help businesses make accurate and timely decisions

Sustainable Smart Cities and Smart Villages Research

ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [There is ever more research on smart cities and new interdisciplinary approaches proposed on the study of smart cities. At the same time, problems pertinent to communities inhabiting rural areas are being addressed, as part of discussions in contigious fields of research, be it environmental studies, sociology, or agriculture. Even if rural areas and countryside communities have previously been a subject of concern for robust policy frameworks, such as the European Union’s Cohesion Policy and Common Agricultural Policy Arguably, the concept of ‘the village’ has been largely absent in the debate. As a result, when advances in sophisticated information and communication technology (ICT) led to the emergence of a rich body of research on smart cities, the application and usability of ICT in the context of a village has remained underdiscussed in the literature. Against this backdrop, this volume delivers on four objectives. It delineates the conceptual boundaries of the concept of ‘smart village’. It highlights in which ways ‘smart village’ is distinct from ‘smart city’. It examines in which ways smart cities research can enrich smart villages research. It sheds light on the smart village research agenda as it unfolds in European and global contexts.

Internet of Things and Sensors Networks in 5G Wireless Communications

This book is a printed edition of the Special Issue Internet of Things and Sensors Networks in 5G Wireless Communications that was published in Sensors

Internet of Things and Sensors Networks in 5G Wireless Communications

The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic

Internet of Things and Sensors Networks in 5G Wireless Communications

This book is a printed edition of the Special Issue Internet of Things and Sensors Networks in 5G Wireless Communications that was published in Sensors

Aligning cybersecurity management with enterprise risk management in the financial industry

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonRecent years have opened debates amongst academics, practitioners and regulators on how the financial industry’s risk resiliency depends on its ability to handle risk holistically. The financial industry is found to be motivated not only by protection purposes or assurance but also by its interest in gaining more return on investment, compliance and effectiveness. It is noticeable that in recent years there has been considerable interest in organisational risk resiliency, but there are still unanswered questions as to why organisations are unsuccessful in applying effective security practice at all levels. Having a robust mechanism to deal with a variety of risks efficiently and in alignment with the organisational strategy has always been something that organisations struggle to accomplish. Changes in internal and external pressures have required organisations to turn their attention from silo operational and managerial risk controls to strategic approaches that can ensure the optimal achievement of the organisation’s mission, strategy and objectives. This research was intended to investigate possible approaches for enabling a more enhanced strategic approach to respond to the extended exposure to all types of risks: to move towards an approach that combines enterprise-wide risk governance with anticipation (proactive response). On the basis that the two types of organisational risk functions cannot be addressed in isolation, this research explored whether the realignment of risk control and risk oversight of the Cybersecurity Management (CsM) and Enterprise Risk Management (ERM) support the establishment of enterprise-wide risk governance. This research responds to the need for harmonised risk handling, reporting, analysis, mitigation and resiliency across an entire organisation. Alignment, in the form of interconnectivity and partnership, can place an entire organisation in a more enhanced state of security through a unified perspective of control, accountability and decision-making. While debates in this subject area have been centred on separate disciplines of ERM, this research posits that CsM and alignment together can further sustain an organisational risk strategy, as together they execute all capabilities in an integrative manner rather than using siloed controls. The nature of this research is mainly qualitative, as it seeks to explore and interpret the qualitative aspects of the problem. The research was undertaken by considering secondary (literature review, systematic literature evaluation) and primary qualitative data (semi-structured interviews). Weighing up the evidence, it was found that an enterprise-wide alignment of CsM with ERM can enhance risk reporting, analysis, mitigation and resiliency. However, incorporating both strategies in a unique mechanism appears to be an infrequent approach in the industry. To facilitate a more enhanced strategic approach, this research has examined the effectiveness and sustainability of an integrated CsM-ERM Strategic Alignment Framework to support financial organisations in managing their exposure to risks in a strategic manner that employs all efforts towards a single end: to protect and to sustain comprehensive capabilities for the achievement of organisational goals