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EBookClubs

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Book Security Inference from Noisy Data

Download or read book Security Inference from Noisy Data written by Li Zhuang and published by . This book was released on 2008 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Theory of Cryptography

Download or read book Theory of Cryptography written by and published by . This book was released on 2006 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Secure Data Provenance and Inference Control with Semantic Web

Download or read book Secure Data Provenance and Inference Control with Semantic Web written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2014-08-01 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book supplies step-by-step instructions on how to secure the provenance of data to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, the methods presented in the book are applicable to a range of other domains.

Book Adaptive Autonomous Secure Cyber Systems

Download or read book Adaptive Autonomous Secure Cyber Systems written by Sushil Jajodia and published by Springer Nature. This book was released on 2020-02-04 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores fundamental scientific problems essential for autonomous cyber defense. Specific areas include: Game and control theory-based moving target defenses (MTDs) and adaptive cyber defenses (ACDs) for fully autonomous cyber operations; The extent to which autonomous cyber systems can be designed and operated in a framework that is significantly different from the human-based systems we now operate; On-line learning algorithms, including deep recurrent networks and reinforcement learning, for the kinds of situation awareness and decisions that autonomous cyber systems will require; Human understanding and control of highly distributed autonomous cyber defenses; Quantitative performance metrics for the above so that autonomous cyber defensive agents can reason about the situation and appropriate responses as well as allowing humans to assess and improve the autonomous system. This book establishes scientific foundations for adaptive autonomous cyber systems and ultimately brings about a more secure and reliable Internet. The recent advances in adaptive cyber defense (ACD) have developed a range of new ACD techniques and methodologies for reasoning in an adaptive environment. Autonomy in physical and cyber systems promises to revolutionize cyber operations. The ability of autonomous systems to execute at scales, scopes, and tempos exceeding those of humans and human-controlled systems will introduce entirely new types of cyber defense strategies and tactics, especially in highly contested physical and cyber environments. The development and automation of cyber strategies that are responsive to autonomous adversaries pose basic new technical challenges for cyber-security. This book targets cyber-security professionals and researchers (industry, governments, and military). Advanced-level students in computer science and information systems will also find this book useful as a secondary textbook.

Book Data Analytics and Decision Support for Cybersecurity

Download or read book Data Analytics and Decision Support for Cybersecurity written by Iván Palomares Carrascosa and published by Springer. This book was released on 2017-08-01 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Book Data Science and Security

Download or read book Data Science and Security written by Samiksha Shukla and published by Springer Nature. This book was released on 2022-07-01 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2022), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 11 – 12 February 2022. The book proposes new technologies and discusses future solutions and applications of data science, data analytics and security. The book targets current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.

Book Information Security

    Book Details:
  • Author : Dennis Longley
  • Publisher : Springer
  • Release : 1992-06-18
  • ISBN : 1349122092
  • Pages : 630 pages

Download or read book Information Security written by Dennis Longley and published by Springer. This book was released on 1992-06-18 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses mainly on communications and communication standards with emphasis also on risk analysis, ITSEC, EFT and EDI with numerous named viruses described. The dictionary contains extended essays on risk analysis, personal computing, key management, pin management and authentication.

Book Security and Privacy in New Computing Environments

Download or read book Security and Privacy in New Computing Environments written by Jin Li and published by Springer. This book was released on 2019-06-07 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 2nd EAI International Conference on Security and Privacy in New Computing Environments, SPNCE 2019, held in Tianjin, China, in April 2019. The 62 full papers were selected from 112 submissions and are grouped into topics on privacy and security analysis, Internet of Things and cloud computing, system building, scheme, model and application for data, mechanism and method in new computing.

Book Improving Security  Privacy  and Connectivity Among Telemedicine Platforms

Download or read book Improving Security Privacy and Connectivity Among Telemedicine Platforms written by Geada, Nuno and published by IGI Global. This book was released on 2024-03-27 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital transformation of the health sector consistently presents unique challenges. As technologies like artificial intelligence, big data, and telemedicine rapidly evolve, healthcare systems need to keep up with advancements and data protection. This rapid evolution, compounded by the complexities of managing patient data and ensuring cybersecurity, creates a daunting task for healthcare providers and policymakers. The COVID-19 pandemic has also highlighted the urgent need for digital solutions, amplifying the pressure on an already strained sector. Improving Security, Privacy, and Connectivity Among Telemedicine Platforms is a comprehensive guide to navigating the digital revolution in healthcare. It offers insights into identifying vital digital technologies and understanding their impact on the Health Value Chain. Through an analysis of empirical evidence, this book provides a roadmap for effectively managing change, transition, and digital value creation in healthcare. With a focus on business sustainability, change management, and cybersecurity, it equips scholars, researchers, and practitioners with the tools needed to thrive in a rapidly evolving digital landscape.

Book Security and Privacy in Communication Networks

Download or read book Security and Privacy in Communication Networks written by Haixin Duan and published by Springer Nature. This book was released on with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Data And Computer Security

Download or read book Data And Computer Security written by Dennis Longley and published by Springer. This book was released on 1989-06-19 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Provable and Practical Security

Download or read book Provable and Practical Security written by Khoa Nguyen and published by Springer Nature. This book was released on 2020-11-20 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Provable Security, ProvSec 2020, held in Singapore, in November 2020. The 20 full papers presented were carefully reviewed and selected from 59 submissions. The papers focus on provable security as an essential tool for analyzing security of modern cryptographic primitives. They are divided in the following topical sections: signature schemes, encryption schemes and NIZKS, secure machine learning and multiparty computation, secret sharing schemes, and security analyses. * The conference was held virtually due to the COVID-19 pandemic.

Book Inference Control in Statistical Databases

Download or read book Inference Control in Statistical Databases written by Josep Domingo-Ferrer and published by Springer Science & Business Media. This book was released on 2002-04-17 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.

Book Big Data and Security

    Book Details:
  • Author : Yuan Tian
  • Publisher : Springer Nature
  • Release : 2022-03-09
  • ISBN : 9811908524
  • Pages : 761 pages

Download or read book Big Data and Security written by Yuan Tian and published by Springer Nature. This book was released on 2022-03-09 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Big Data and Security, ICBDS 2021, held in Shenzhen, China, in November 2021 The 46 revised full papers and 13 short papers were carefully reviewed and selected out of 221 submissions. The papers included in this volume are organized according to the topical sections on cybersecurity and privacy; big data; blockchain and internet of things, and artificial intelligence/ machine learning security.

Book Information Security and Ethics  Concepts  Methodologies  Tools  and Applications

Download or read book Information Security and Ethics Concepts Methodologies Tools and Applications written by Nemati, Hamid and published by IGI Global. This book was released on 2007-09-30 with total page 4478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents theories and models associated with information privacy and safeguard practices to help anchor and guide the development of technologies, standards, and best practices. Provides recent, comprehensive coverage of all issues related to information security and ethics, as well as the opportunities, future challenges, and emerging trends related to this subject.

Book Cyber Security  Cryptology  and Machine Learning

Download or read book Cyber Security Cryptology and Machine Learning written by Shlomi Dolev and published by Springer Nature. This book was released on 2023-06-20 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, held in Be'er Sheva, Israel, in June 2023. The 21 full and 15 short papers were carefully reviewed and selected from 70 submissions. They deal with the theory, design, analysis, implementation, and application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.

Book Automated Secure Computing for Next Generation Systems

Download or read book Automated Secure Computing for Next Generation Systems written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2023-11-16 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTOMATED SECURE COMPUTING FOR NEXT-GENERATION SYSTEMS This book provides cutting-edge chapters on machine-empowered solutions for next-generation systems for today’s society. Security is always a primary concern for each application and sector. In the last decade, many techniques and frameworks have been suggested to improve security (data, information, and network). Due to rapid improvements in industry automation, however, systems need to be secured more quickly and efficiently. It is important to explore the best ways to incorporate the suggested solutions to improve their accuracy while reducing their learning cost. During implementation, the most difficult challenge is determining how to exploit AI and ML algorithms for improved safe service computation while maintaining the user’s privacy. The robustness of AI and deep learning, as well as the reliability and privacy of data, is an important part of modern computing. It is essential to determine the security issues of using AI to protect systems or ML-based automated intelligent systems. To enforce them in reality, privacy would have to be maintained throughout the implementation process. This book presents groundbreaking applications related to artificial intelligence and machine learning for more stable and privacy-focused computing. By reflecting on the role of machine learning in information, cyber, and data security, Automated Secure Computing for Next-Generation Systems outlines recent developments in the security domain with artificial intelligence, machine learning, and privacy-preserving methods and strategies. To make computation more secure and confidential, the book provides ways to experiment, conceptualize, and theorize about issues that include AI and machine learning for improved security and preserve privacy in next-generation-based automated and intelligent systems. Hence, this book provides a detailed description of the role of AI, ML, etc., in automated and intelligent systems used for solving critical issues in various sectors of modern society. Audience Researchers in information technology, robotics, security, privacy preservation, and data mining. The book is also suitable for postgraduate and upper-level undergraduate students.