Developing a distributed electronic health-record store for India

The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India

Autonomic computing architecture for SCADA cyber security

Cognitive computing relates to intelligent computing platforms that are based on the disciplines of artificial intelligence, machine learning, and other innovative technologies. These technologies can be used to design systems that mimic the human brain to learn about their environment and can autonomously predict an impending anomalous situation. IBM first used the term ‘Autonomic Computing’ in 2001 to combat the looming complexity crisis (Ganek and Corbi, 2003). The concept has been inspired by the human biological autonomic system. An autonomic system is self-healing, self-regulating, self-optimising and self-protecting (Ganek and Corbi, 2003). Therefore, the system should be able to protect itself against both malicious attacks and unintended mistakes by the operator

Corporate governance, stakeholding and the nature of employment relations within the firm

This paper investigates the effect of different forms of corporate governance on the structure and nature of stakeholder relationships within organizations and the consequent impact on employment relations within the firm. In this, HRM assumes a dual role in delivering improvements in production efficiency and in fostering employee commitment to the organization and its objectives. However, different forms of corporate governance prioritise stakeholder interests in ways that may bring these two objectives into conflict. To address these questions, we examine the interrelationship between corporate governance, HRM practices and HRM outcomes in a comparative analysis of companies operating under alternative forms of governance, including private sector, public sector and family-owned firms. The empirical analysis is based on the UK Work and Employment Relations Survey (WERS98)

A Graphical Adversarial Risk Analysis Model for Oil and Gas Drilling Cybersecurity

Oil and gas drilling is based, increasingly, on operational technology, whose cybersecurity is complicated by several challenges. We propose a graphical model for cybersecurity risk assessment based on Adversarial Risk Analysis to face those challenges. We also provide an example of the model in the context of an offshore drilling rig. The proposed model provides a more formal and comprehensive analysis of risks, still using the standard business language based on decisions, risks, and value.Comment: In Proceedings GraMSec 2014, arXiv:1404.163