الصفحة 1
الصفحة 1
Honeypots for Windows
Installing a honeypot inside your network as an early warning system can significantly improve your security. Currently, almost every book and resource about honeypots comes from a Unix background, which leaves Windows administrators still grasping for help. But Honeypots for Windows is a forensic journeyhelping you set up the physical layer, design your honeypot, and perform malware code analysis. You'll discover which Windows ports need to be open on your honeypot to fool those malicious hackers, and you'll learn about numerous open source tools imported from the Unix world. Install a honeypot on your DMZ or at home and watch the exploits roll in! Your honeypot will capture waves of automated exploits, and youll learn how to defend the computer assets under your control.
Hidden Markov Models in Finance
A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets. Hidden Markov Models in Finance by Mamon and Elliott will be the first systematic application of these methods to some special kinds of financial problems; namely, pricing options and variance swaps, valuation of life insurance policies, interest rate theory, credit risk modeling, risk management, analysis of future demand and inventory level, testing foreign exchange rate hypothesis, and early warning systems for currency crises.
Famine Early Warning Systems and Remote Sensing Data
This book describes the interdisciplinary work of USAID’s Famine Early Warning System Network (FEWS NET) and its in uence on how food security crises are identi ed, documented and the kind of responses that result. The book describes FEWS NET’s systems and methods for using satellite remote sensing to identify and describe how biophysical hazards impact the lives and livelihoods of the po- lation where they occur. It presents several illustrative case studies that will dem- strate the integration of both physical and social science disciplines in its work. FEWS NET’s operational needs have driven science in biophysical remote sensing applications through its collaboration with the US Geological Survey, the National Aeronautics and Space Administration, National Oceanographic and Atmospheric Administration, and US Department of Agriculture, as well as methodologies in the social science domain through its support of the US Agency for International - velopment, UN World Food Program and numerous international non-governmental organizations such as Save the Children, Oxfam and others. Because FEWS NET is an organization that must provide a global picture of food insecurity to decision makers, the information it relies on are by necessity - servable and able to be documented.
Earthquake Early Warning System
The book provides information on the major EEW systems in operation and on the state of the art of the different blocks forming an EW system: the rapid detection and estimation of the earthquake’s focal parameters, the signal transmission, the engineering interface and the information reliability/false alarm problem.
Managing Elevated Risk : Global Liquidity, Capital Flows, and Macroprudential Policy—An Asian Perspective
Discusses the risks and opportunities that arise in Emerging Asia given the context of a new environment in global liquidity and capital flows. It elaborates on the need to ensure financial and overall economic stability in the region through improved financial regulation and other policy measures to minimize the emergent risks. "Managing Elevated Risk: Global Liquidity, Capital Flows, and Macroprudential Policy—An Asian Perspective" also explores the range of policy options that may be deployed to address the impact of global liquidity on domestic financial and socio-economic conditions including income inequality. The book is primarily aimed at policy makers, financial market regulators and supervisory agencies to help them improve national regulatory systems and to promote harmonization of national regulations and practices in line with global standards.
Management of Intentional and Accidental Water Pollution
The goals of the workshop included a discussion of the state of the science in identification of new research and approaches for water pollution events and communication of the management of water pollution and sustainability of water resources. Critical to management of accidental and intentional pollution events is the assessment of the risk, an understanding of the hazards and lessons learned from events which may lead to preventative management and control strategies. Public health protection will ultimately be improved by the ability to develop management frameworks which are flexible and adaptable to the specific region, country or watershed problems and concerns and allow for prioritization in the decision making. The integration of scientific information regarding the types of hazards the environmental fate of the chemical/biological, exposure pathways and human and ecosystem impacts may be implemented from both a qualitative or descriptive approach or using a more classical quantitative risk assessment paradigm. Thus the frameworks for assessing the risk and managing the risk may be seen as preventive, early warning and responsive.
Machine Intelligence and Big Data Analytics for Cybersecurity Applications
Presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field.
Landslide risk assessment
Over the past decade there has been a gradual shift away from simply relying on engineering solutions to individual landslide problems, to the use of a variety of strategies to manage the problems over a broad area. Such alternative strategies include the use of building codes, land use planning controls, preventing water leakage, early warning systems and insurance schemes. This book addresses these developments and provides a multidisciplinary perspective on landslide management.
Advanced REIT Portfolio Optimization : Innovative Tools for Risk Management
This book provides an investor-friendly presentation of the premises and applications of the quantitative finance models governing investment in one asset class of publicly traded stocks, specifically real estate investment trusts (REITs). The models provide highly advanced analytics for REIT investment, including: portfolio optimization using both historic and predictive return estimation; model backtesting; a complete spectrum of risk assessment and management tools with an emphasis on early warning systems, risk budgeting, estimating tail risk, and factor analysis; derivative valuation; and incorporating ESG ratings into REIT investment.
A Contingency-Based View of Chief Executive Officers' Early Warning Behaviour : An Empirical Analysis of German Medium-Sized Companies
Organizations need to identify risks and chances of environmental changes in order to adapt to or possibly even to influence them. Early warning which comprises scanning and interpretation plays an important role in this process. Whereas the traditional contingency approach considers early warning as a part of the organizational structure, the extended contingency theory assumes the additional influence of an individual’s personality on early warning. Andreas Kirschkamp empirically analyses the early warning behavior of Chief Executive Officers in German medium-sized companies. First, he presents the design variables of early warning, then the influencing contingency variables. On the basis of the scholarly research on psychological and contingency theory, the author deduces hypotheses and tests them. The results show that early warning behavior is not only influenced by traditional contingency variables but also by personal attitudes.
