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Near Field Communications Handbook
From basic concepts to research grade material and future directions, the Near Field Communications Handbook provides comprehensive technical coverage of this rapidly emerging field. Walking readers through emerging applications, it offers a glimpse at a future in which near field communication (NFC) technology is fully integrated into daily life.
Access Control for Databases
A comprehensive survey of the foundational models and recent research trends in access control models and mechanisms for database management systems.
Digital Watermarking
This book constitutes the refereed proceedings of the 4th International Workshop on Digital Watermarking Secure Data Management, IWDW 2005, held in Siena, Italy in September 2005. The 31 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers are organized in topical sections on steganography and steganalysis, fingerprinting, watermarking, attacks, watermarking security, watermarking of unconventional media, channel coding and watermarking, theory, and applications.
Secure Data Management
This book constitutes the refereed proceedings of the Fifth VLDB Workshop on Secure Data Management, SDM 2008, held in Auckland, New Zealand, on August 24, 2008, in conjunction with VLDB 2008. The 11 full papers were selected for publication in the book from 32 submissions. In addition, 3 position papers and a keynote paper are included. The papers are organized in topical sections on database security, trust management, privacy protection, and security and privacy in healthcare.
Data Protection from Insider Threats
As data represent a key asset for today's organizations, the problem of how to protect this data from theft and misuse is at the forefront of these organizations' minds. Even though today several data security techniques are available to protect data and computing infrastructures, many such techniques -- such as firewalls and network security tools -- are unable to protect data from attacks posed by those working on an organization's "inside." These "insiders" usually have authorized access to relevant information systems, making it extremely challenging to block the misuse of information while still allowing them to do their jobs. This book discusses several techniques that can provide effe...
Malware Analysis Using Artificial Intelligence and Deep Learning
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
Security, Privacy, and Trust in Modern Data Management
The vision of ubiquitous computing and ambient intelligence describes a world of technology which is present anywhere, anytime in the form of smart, sensible devices that communicate with each other and provide personalized services. However, open interconnected systems are much more vulnerable to attacks and unauthorized data access. In the context of this threat, this book provides a comprehensive guide to security and privacy and trust in data management.
Machine Learning in Cyber Trust
Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms. This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work. Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.
Handbook of Database Security
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.
Recent Advances in Intrusion Detection
This book constitutes the refereed proceedings of the 11th International Symposium on Recent Advances in Intrusion Detection, RAID 2008, held in Cambridge, MA, USA, in September 2008. The 20 revised full papers presented together with 16 revised poster papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on rootkit prevention, malware detection and prevention, high performance intrusion and evasion, Web application testing and evasion, alert correlation and worm detection, as well as anomaly detection and network traffic analysis.
