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This book comprises select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volume covers diverse topics ranging from information security to cryptography and from encryption to intrusion detection. This book focuses on Cyber Security. It aims at informing the readers about the technology in general and the internet in particular. The book uncovers the various nuances of information security, cyber security and its various dimensions. This book also covers latest security trends, ways to combat cyber threats including the detection and mitigation of security threats and risks. The contents of this book will prove useful to professionals and researchers alike.
An authentic, heartfelt and compelling narrative – straight from the horse’s mouth – that reveals for the first time numerous unknown aspects of the life and times of one of the greatest legends of all time who stands out as a symbol of secular India. Dilip Kumar (born as Yousuf Khan), who began as a diffident novice in Hindi cinema in the early 1940s, went on to attain the pinnacle of stardom within a short time. He came up with spellbinding performances in one hit film after another – in his almost six-decade-long career – on the basis of his innovative capability, determination, hard work and never-say-die attitude. In this unique volume, Dilip Kumar traces his journey right fro...
This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.
Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.
This volume is first part of the five-part set on bioenergy research. This volume covers current developments and both basic and advanced concepts in bioenergy production. Based on bioenergy road map, the book will also evaluate about the ratio existing between current challenges associated and practical implementation of these biofuels. The book complies up to-date progressive development in available bioenergy options and discusses opportunities and existing risks. The main objective of the book is to provide insights into the opportunities and required actions for the development of an economically viable bioenergy industry for practical replacement of fossil fuels. This book is of interest to teachers, researchers, scientists, capacity builders and policymakers. Also the book serves as additional reading material for undergraduate and graduate students of environmental sciences. National and international bioenergy scientists, policy makers will also find this to be a useful read. Other four volumes of this set explore latest developments, commercial opportunities, waste to energy and integrated solution for bioenergy concerns.
The new volume takes an interdisciplinary look at current technical challenges and recent developmental trends in microbial biotechnology. It covers an avalanche of new information available through research by focusing on a broad spectrum of issues on different microorganisms and their recent applications and implications in agriculture, soil science and forestry, industry, and public health and medicine. Microbes present in our immediate environment have a direct or indirect influence leading to either a harmful or beneficial effect. Microbial Biotechnology: Technological Challenges and Developmental Trends is divided into four major sections that focus on Part I: Antimicrobial Agents: Rol...
Cognitive impairment and dementia afflict a large number of people worldwide, being a major source of disability and loss of income. The amount of research on this subject is extensive, covering from basic to translational and clinical aspects. Therefore, it is hard to keep up with the amount of publications and novelties in this field, especially for the busy clinician. On the other hand, basic scientists often find it difficult to explore the vast clinical literature on this matter, as well as understand the clinical features of these disorders and to define the current research needs and directions. The main aim of this Frontiers Research Topic is to provide a solid and valuable platform of scientific synthesis regarding the current knowledge and literature on this theme, including clinical features, current and emergent diagnostic strategies, management (both present and future), and other important issues pertaining to cognitive impairment and dementia.
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.