The real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. This book is suitable for those interested in understanding the techniques for handling very large data sets and how to apply them in conjunction for solving security issues.
- In 2003, four mining shares rose over four times in price, with one gaining ten times.- In just the first two months of 2004, 26 mining shares increased more than 20%, with five shares doubling.- Merrill Lynch's World Mining Trust is the UK's best performing fund over the past three years, having risen by over 200 per cent.But is the mining boom about to end?Not according to this book, by Michael Coulson, Chairman of the Association of Mining Analysts. Coulson argues that, if anything, we are still in the early stages of prolonged strength in mining stocks and despite what some commentators are saying, the boom is far from over.FROM THE BACK COVERThe prospect of instant riches gives the mining sector an obvious glamour. And when the mining sector begins to run it can be an awesome sight and the excitement generated can be every bit as seductive and heady as that which enveloped markets during the internet boom. But due to the counter-cyclical nature of many mining stocks, they can also offer a valuable refuge when stock markets turn down. In this book, Michael Coulson gives a masterly overview of the sector, explains both the rewards and the pitfalls of investing in mining shares and argues convincingly that mining should once again form a core sector for all investors. The book is for anyone interested in mining, and particularly mining as an investment. Whilst it contains material which will be useful to even experienced followers of the sector, its main target is those who are interested in mining but perhaps not particularly familiar with the sector, and would like to know more. All the subjects are covered that are fundamental to acquiring sufficient knowledge about the miningsector to invest in it with confidence.While the mining s
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security. Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.
"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables. This book fills the great need for a book that collects and frames work on developing and applying methods from machine learning and data mining to problems in computer security.
As the importance and dependence of specific mineral commodities increase, so does concern about their supply. The United States is currently 100 percent reliant on foreign sources for 20 mineral commodities and imports the majority of its supply of more than 50 mineral commodities. Mineral commodities that have important uses and face potential supply disruption are critical to American economic and national security. However, a mineral commodity's importance and the nature of its supply chain can change with time; a mineral commodity that may not have been considered critical 25 years ago may be critical today, and one considered critical today may not be so in the future. The U.S. Geological Survey has produced this volume to describe a select group of mineral commodities currently critical to our economy and security. For each mineral commodity covered, the authors provide a comprehensive look at (1) the commodity's use; (2) the geology and global distribution of the mineral deposit types that account for the present and possible future supply of the commodity; (3) the current status of production, reserves, and resources in the United States and globally; and (4) environmental considerations related to the commodity's production from different types of mineral deposits. The volume describes U.S. critical mineral resources in a global context, for no country can be self-sufficient for all its mineral commodity needs, and the United States will always rely on global mineral commodity supply chains. This volume provides the scientific understanding of critical mineral resources required for informed decisionmaking by those responsible for ensuring that the United States has a secure and sustainable supply of mineral commodities.
Written in clear layman's terms, this forward-thinking book is packed with information to help gold and silver investors navigate an exciting, timely, and largely unexplored market.
This book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.