The demand for nurses with ahead ranks is rapidly increasing. The nation is currently in year ten of a projected and unprecedented thirty year nursing shortage, at the same time that the need for more highly educated nurses is rising.
This study proposes a genetic-clustering algorithm to etect and classify the data instances, collected from intrusion detection systems into normal or attack clusters, automatically. The proposed genetic clustering algorithm can obtain the optimal clustering solution based on the minimum distance
Database protection mechanisms often fail to prevent occurrence of malicious transactions. In this paper, we consider the problem of database recovery from such committed malicious transactions in distributed database systems. In a database, the result of one transaction may affect
Confidentiality via Camoufiage (CVC) provides a practical method for giving unlimited, correct, numerical responses to ad-hoc queries to an on-line database, while not compromising confidential numerical data. CVC-POL guarantees confidentiality by hiding protected data points in a polytope and generating
Ensuring security in embedded systems translates into several design challenges, imposed by the unique features of these systems. These features make the integration of conventional security mechanisms impractical, and require a better understanding of the whole security problem. This paper
This article presents an attempt to reproblematise certain aspects of narratives in organisations which are too often taken for granted. The epistemological nature of narrative knowledge is explored by referring to a distinction between discursive and narrative knowledge drawn by
This article uses concepts from quantum mechanics and chaos/complexity theory to examine the dynamics of organisational attempts to infuse ethical conduct 'all the way through' organisations. The goal of this article is to consider these efforts from a non-linear systemic
To what extent is 'the economy' socially regulated and what do we mean by 'social regulation'? While a Hobbesian view sees the state as central, the Smithian tradition focuses on the market. But social regulation is not merely a matter
In this paper, we propose a new unsupervised anomaly detection framework for network intrusions. The framework consists of a new clustering algorithm named I-means and new anomalousness metrics named IP Weights. I-means is an evolutionary extension of k means algorithm
This article discusses the emergence of qualitative techniques of audit. In particular, it focuses on the auditing of the UK policy National Health Service Local Improvement Finance Trust (NHS LIFT), a policy that shifts provision of primary care premises to
