Detecting SQL Injection Using Correlative Log Analysis

The spiking landscape of cyber-attacks is reflecting its trend towards invoking vulnerabilities in a web application. The vulnerabilities seem to be over-growing second by second beside being over-coming time to time. The reason behind is, new attack vectors are often being deployed by the threat actors. The global cyber security market alone has brought a turnover of about $350 billion, which shows how wide the attack landscape is and how expensive it is to detect, protect and respond to the cyber issues. Most of the security experts have quoted that, the average cost of a data breach will exceed to $150million by 2020 and about 80 percent of the global demography were nowhere aware of such attacks. From the past few years, SQL injection is acting as a major vector in breaching the sensitive data. Detecting SQL injection through log correlation is the most effective methodology utilized under adaptive environments seeking no tool investigation. This paper exposes a detection methodology of an SQL injection attack without any mere concentration on automated tools. The paper goes with a motto of detection through configuring the available resources like web server,database,and an IDS in a way of creating adaptable environment that can bring the entire attacker information through log analysis. The paper would represent the attacker phases in a finite automata.

Nurses' Perceptions of Ethical Issues in the Care of Older People

The aim of this thematic literature review is to explore nurses' perceptions of ethical issues in the care of older people. Electronic databases were searched from September 1997 to September 2007 using specific key words with tight inclusion criteria, which revealed 17 primary research reports. The data analysis involved repeated reading of the findings and sorting of those findings into four themes. These themes are: sources of ethical issues for nurses; differences in perceptions between nurses and patients/relatives; nurses' personal responses to ethical issues; and the patient—nurse relationship. The findings reveal that ageism is one of the major sources of the ethical issues that arise for nurses caring for older people. Education and organizational change can combat ageist attitudes. Wider training is required in the care of older people, workplace skills, palliative care and pain management for older people. The demands of a changing global demography will necessitate further research in this field.

DYNAMICS OF INHOMOGENEOUS POPULATIONS AND GLOBAL DEMOGRAPHY MODELS

The dynamic theory of inhomogeneous populations developed during the last decade predicts several essential new dynamic regimes applicable even to the well-known, simple population models. We show that, in an inhomogeneous population with a distributed reproduction coefficient, the entire initial distribution of the coefficient should be used to investigate real population dynamics. In the general case, neither the average rate of growth nor the variance or any finite number of moments of the initial distribution is sufficient to predict the overall population growth. We developed methods for solving the heterogeneous models and explored the dynamics of the total population size together with the reproduction coefficient distribution. We show that, typically, there exists a phase of "hyper-exponential" growth that precedes the well-known exponential phase of population growth in a free regime. The developed formalism is applied to models of global demography and the problem of "population explosion" predicted by the known hyperbolic formula of world population growth. We prove here that the hyperbolic formula presents an exact solution to the Malthus model with an exponentially distributed reproduction coefficient and that "population explosion" is a corollary of certain implicit unrealistic assumptions. Alternative models of world population growth are derived; they show a notable phenomenon, a transition from protracted hyperbolical growth (the phase of "hyper-exponential" development) to the brief transitional phase of exponential growth and, subsequently, to stabilization. The model solutions are consistent with real data and produce relatively accurate forecasts.