From Database To Cyber Security
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From Database To Cyber Security
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Author : Pierangela Samarati
language : en
Publisher: Springer
Release Date : 2018-11-30
From Database To Cyber Security written by Pierangela Samarati and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Computers categories.
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.
Data Warehousing And Data Mining Techniques For Cyber Security
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Author : Anoop Singhal
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-06
Data Warehousing And Data Mining Techniques For Cyber Security written by Anoop Singhal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-06 with Computers categories.
The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.
Implementing Database Security And Auditing
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Author : Ron Ben Natan
language : en
Publisher: Elsevier
Release Date : 2005-05-20
Implementing Database Security And Auditing written by Ron Ben Natan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-20 with Computers categories.
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.
Database And Application Security
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Author : R. Sarma Danturthi
language : en
Publisher: Addison-Wesley Professional
Release Date : 2024-05-02
Database And Application Security written by R. Sarma Danturthi and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.
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.
Big Data Analytics In Cybersecurity
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Author : Onur Savas
language : en
Publisher: CRC Press
Release Date : 2017-09-18
Big Data Analytics In Cybersecurity written by Onur Savas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Business & Economics categories.
Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.
Advances In Cybersecurity Management
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Author : Kevin Daimi
language : en
Publisher: Springer Nature
Release Date : 2021-06-15
Advances In Cybersecurity Management written by Kevin Daimi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.
This book concentrates on a wide range of advances related to IT cybersecurity management. The topics covered in this book include, among others, management techniques in security, IT risk management, the impact of technologies and techniques on security management, regulatory techniques and issues, surveillance technologies, security policies, security for protocol management, location management, GOS management, resource management, channel management, and mobility management. The authors also discuss digital contents copyright protection, system security management, network security management, security management in network equipment, storage area networks (SAN) management, information security management, government security policy, web penetration testing, security operations, and vulnerabilities management. The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity management specialists and educators for keeping current their cybersecurity management knowledge. Further, they provide a glimpse of future directions where cybersecurity management techniques, policies, applications, and theories are headed. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse cybersecurity management experts in the listed fields and edited by prominent cybersecurity management researchers and specialists.
Handbook Of Database Security
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Author : Michael Gertz
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-03
Handbook Of Database Security written by Michael Gertz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-03 with Computers categories.
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.
Database And Applications Security
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2005-05-26
Database And Applications Security written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-26 with Computers categories.
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,
Secure Data Science
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2022-04-27
Secure Data Science written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-27 with Computers categories.
Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.
Machine Intelligence And Big Data Analytics For Cybersecurity Applications
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Author : Yassine Maleh
language : en
Publisher: Springer Nature
Release Date : 2020-12-14
Machine Intelligence And Big Data Analytics For Cybersecurity Applications written by Yassine Maleh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Computers categories.
This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.