This Festschrift is in honor of Sushil Jajodia, Professor in the George Mason University, USA, on the occasion of his 70th birthday. This book contains papers written in honor of Sushil Jajodia, of his vision and his achievements. Sushil has sustained a highly active research agenda spanning several important areas in computer security and privacy, and established himself as a leader in the security research community through unique scholarship and service. He has extraordinarily impacted the scientific and academic community, opening and pioneering new directions of research, and significantly influencing the research and development of security solutions worldwide. Also, his excellent record of research funding shows his commitment to sponsored research and the practical impact of his work. The research areas presented in this Festschrift include membrane computing, spiking neural networks, phylogenetic networks, ant colonies optimization, work bench for bio-computing, reaction systems, entropy of computation, rewriting systems, and insertion-deletion systems.

Handbook of Database Security: Applications and Trends provides an up-to-date overview of data security models, techniques, and architectures in a variety of data management applications and settings. In addition to providing an overview of data security in different application settings, this book includes an outline for future research directions within the field. The book is designed for industry practitioners and researchers, and is also suitable for advanced-level students in computer science.

This book is about database security and auditing. You will learn many methods and techniques that will be helpful in securing, monitoring and auditing database environments. It covers diverse topics that include all aspects of database security and auditing - including network security for databases, authentication and authorization issues, links and replication, database Trojans, etc. You will also learn of vulnerabilities and attacks that exist within various database environments or that have been used to attack databases (and that have since been fixed). These will often be explained to an "internals level. There are many sections which outline the "anatomy of an attack – before delving into the details of how to combat such an attack. Equally important, you will learn about the database auditing landscape – both from a business and regulatory requirements perspective as well as from a technical implementation perspective.* Useful to the database administrator and/or security administrator - regardless of the precise database vendor (or vendors) that you are using within your organization.* Has a large number of examples - examples that pertain to Oracle, SQL Server, DB2, Sybase and even MySQL.. * Many of the techniques you will see in this book will never be described in a manual or a book that is devoted to a certain database product.* Addressing complex issues must take into account more than just the database and focusing on capabilities that are provided only by the database vendor is not always enough. This book offers a broader view of the database environment - which is not dependent on the database platform - a view that is important to ensure good database security.

An all-encompassing guide to securing your database and applications against costly cyberattacks! In a time when the average cyberattack costs a company $9.48 million, organizations are desperate for qualified database administrators and software professionals. Hackers are more innovative than ever before. Increased cybercrime means front-end applications and back-end databases must be finetuned for a strong security posture. Database and Application Security: A Practitioner's Guide is the resource you need to better fight cybercrime and become more marketable in an IT environment that is short on skilled cybersecurity professionals. In this extensive and accessible guide, Dr. R. Sarma Danturthi provides a solutions-based approach to help you master the tools, processes, and methodologies to establish security inside application and database environments. It discusses the STIG requirements for third-party applications and how to make sure these applications comply to an organization’s security posture. From securing hosts and creating firewall rules to complying with increasingly tight regulatory requirements, this book will be your go-to resource to creating an ironclad cybersecurity database. In this guide, you'll find: Tangible ways to protect your company from data breaches, financial loss, and reputational harm Engaging practice questions (and answers) after each chapter to solidify your understanding Key information to prepare for certifications such as Sec+, CISSP, and ITIL Sample scripts for both Oracle and SQL Server software and tips to secure your code Advantages of DB back-end scripting over front-end hard coding to access DB Processes to create security policies, practice continuous monitoring, and maintain proactive security postures Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

This book provides an authoritative account of security issues in database systems, and shows how current commercial or future systems may be designed to ensure both integrity and confidentiality. It gives a full account of alternative security models and protection measures. This invaluable reference can be used as a text for advanced courses on DB security.

This is the first book to provide an in-depth coverage of all the developments, issues and challenges in secure databases and applications. It provides directions for data and application security, including securing emerging applications such as bioinformatics, stream information processing and peer-to-peer computing. Divided into eight sections,

Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.