Adarsh Anand

This book is an overview of basics and other related fundamentals pertaining to software vulnerability discovery as a process. This collaboration of academia and industry disseminates various practical mathematical modeling-based tools and analytics used for vulnerability discovery.A big challenge for software developers is producing and maintaining high quality offerings. Recent developments in both academia and industry have seen the devotion of many researchers to the security aspect of software systems. There are various instances where a security breech or more precisely a software vulnerability has led to the colossal loss of resources and, at times, human lives as well. The emergence of this naïve concept from the field of complex systems provides many new opportunities for the software security fraternity and has also raised many new exciting challenges. And so, of late, many practitioners have contributed to this domain.Software Vulnerability Discovery Process: Concepts and Applications is not only for academicians, but also for those who need to understand nature of the vulnerabilities, like a vendor, a client in the domain of complex systems, and for understanding the patch management workflow. Along with these, anyone solving problems within the related application domains will benefit from this compilation.

The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed. Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.

This book provides application of multi criteria decision making techniques for managerial discretion. With this book, a concerted platform has been provided for several peers and other management organizations to understand and implement these tools and deal with the practical problems in a better way so as to provide more robust managerial decision making.

The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed. Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.