Machine Learning And Cryptographic Solutions For Data Protection And Network Security

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Machine Learning and Cryptographic Solutions for Data Protection and Network Security

Author : Ruth, J. Anitha
Publisher : IGI Global
ISBN 13 :
Total Pages : 557 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Machine Learning and Cryptographic Solutions for Data Protection and Network Security by : Ruth, J. Anitha

Download or read book Machine Learning and Cryptographic Solutions for Data Protection and Network Security written by Ruth, J. Anitha and published by IGI Global. This book was released on 2024-05-31 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the relentless battle against escalating cyber threats, data security faces a critical challenge the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.

The Elements of Big Data Value

Author : Edward Curry
Publisher : Springer Nature
ISBN 13 : 3030681769
Total Pages : 399 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis The Elements of Big Data Value by : Edward Curry

Download or read book The Elements of Big Data Value written by Edward Curry and published by Springer Nature. This book was released on 2021-08-01 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Theory and Practice of Cryptography Solutions for Secure Information Systems

Author : Elçi, Atilla
Publisher : IGI Global
ISBN 13 : 1466640316
Total Pages : 611 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Theory and Practice of Cryptography Solutions for Secure Information Systems by : Elçi, Atilla

Download or read book Theory and Practice of Cryptography Solutions for Secure Information Systems written by Elçi, Atilla and published by IGI Global. This book was released on 2013-05-31 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Systems (IS) are a nearly omnipresent aspect of the modern world, playing crucial roles in the fields of science and engineering, business and law, art and culture, politics and government, and many others. As such, identity theft and unauthorized access to these systems are serious concerns. Theory and Practice of Cryptography Solutions for Secure Information Systems explores current trends in IS security technologies, techniques, and concerns, primarily through the use of cryptographic tools to safeguard valuable information resources. This reference book serves the needs of professionals, academics, and students requiring dedicated information systems free from outside interference, as well as developers of secure IS applications. This book is part of the Advances in Information Security, Privacy, and Ethics series collection.

Software Similarity and Classification

Author : Silvio Cesare
Publisher : Springer Science & Business Media
ISBN 13 : 1447129091
Total Pages : 96 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Software Similarity and Classification by : Silvio Cesare

Download or read book Software Similarity and Classification written by Silvio Cesare and published by Springer Science & Business Media. This book was released on 2012-03-05 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software similarity and classification is an emerging topic with wide applications. It is applicable to the areas of malware detection, software theft detection, plagiarism detection, and software clone detection. Extracting program features, processing those features into suitable representations, and constructing distance metrics to define similarity and dissimilarity are the key methods to identify software variants, clones, derivatives, and classes of software. Software Similarity and Classification reviews the literature of those core concepts, in addition to relevant literature in each application and demonstrates that considering these applied problems as a similarity and classification problem enables techniques to be shared between areas. Additionally, the authors present in-depth case studies using the software similarity and classification techniques developed throughout the book.

Research Anthology on Artificial Intelligence Applications in Security

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799877485
Total Pages : 2253 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Artificial Intelligence Applications in Security by : Management Association, Information Resources

Download or read book Research Anthology on Artificial Intelligence Applications in Security written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-11-27 with total page 2253 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Effective Model-Based Systems Engineering

Author : John M. Borky
Publisher : Springer
ISBN 13 : 3319956698
Total Pages : 788 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Effective Model-Based Systems Engineering by : John M. Borky

Download or read book Effective Model-Based Systems Engineering written by John M. Borky and published by Springer. This book was released on 2018-09-08 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.

Adversarial Machine Learning

Author : Anthony D. Joseph
Publisher : Cambridge University Press
ISBN 13 : 1107043468
Total Pages : 341 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Adversarial Machine Learning by : Anthony D. Joseph

Download or read book Adversarial Machine Learning written by Anthony D. Joseph and published by Cambridge University Press. This book was released on 2019-02-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.

Cyber Security Cryptography and Machine Learning

Author : Shlomi Dolev
Publisher : Springer Nature
ISBN 13 : 3030497852
Total Pages : 265 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Cyber Security Cryptography and Machine Learning by : Shlomi Dolev

Download or read book Cyber Security Cryptography and Machine Learning written by Shlomi Dolev and published by Springer Nature. This book was released on 2020-06-25 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fourth International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2020, held in Be'er Sheva, Israel, in July 2020. The 12 full and 4 short papers presented in this volume were carefully reviewed and selected from 38 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.

Machine Learning Approach for Cloud Data Analytics in IoT

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1119785855
Total Pages : 528 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Approach for Cloud Data Analytics in IoT by : Sachi Nandan Mohanty

Download or read book Machine Learning Approach for Cloud Data Analytics in IoT written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-07-14 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Applied Cryptography and Network Security Workshops

Author : Jianying Zhou
Publisher : Springer Nature
ISBN 13 : 303061638X
Total Pages : 584 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Applied Cryptography and Network Security Workshops by : Jianying Zhou

Download or read book Applied Cryptography and Network Security Workshops written by Jianying Zhou and published by Springer Nature. This book was released on 2020-10-14 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, in Rome, Italy, in October 2020. The 31 papers presented in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: AIBlock 2020: Second International Workshop on Application Intelligence and Blockchain Security AIHWS 2020: First International Workshop on Artificial Intelligence in Hardware Security AIoTS 2020: Second International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security Cloud S&P 2020: Second International Workshop on Cloud Security and Privacy SCI 2020: First International Workshop on Secure Cryptographic Implementation SecMT 2020: First International Workshop on Security in Mobile Technologies SiMLA 2020: Second International Workshop on Security in Machine Learning and its Applications

Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches

Author : Ali, A B M Shawkat
Publisher : IGI Global
ISBN 13 : 1605669091
Total Pages : 515 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches by : Ali, A B M Shawkat

Download or read book Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches written by Ali, A B M Shawkat and published by IGI Global. This book was released on 2009-11-30 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses advances in modern data mining research in today's rapidly growing global and technological environment"--Provided by publisher.

Pattern Recognition and Machine Learning

Author : Christopher M. Bishop
Publisher : Springer
ISBN 13 : 9781493938438
Total Pages : 0 pages
Book Rating : 4.9/5 (384 download)

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Book Synopsis Pattern Recognition and Machine Learning by : Christopher M. Bishop

Download or read book Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Machine Learning in Healthcare and Security

Author : Prashant Pranav
Publisher : CRC Press
ISBN 13 : 1003825907
Total Pages : 254 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning in Healthcare and Security by : Prashant Pranav

Download or read book Machine Learning in Healthcare and Security written by Prashant Pranav and published by CRC Press. This book was released on 2024-01-19 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.

Machine Learning for Edge Computing

Author : Amitoj Singh
Publisher : CRC Press
ISBN 13 : 1000609235
Total Pages : 200 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Machine Learning for Edge Computing by : Amitoj Singh

Download or read book Machine Learning for Edge Computing written by Amitoj Singh and published by CRC Press. This book was released on 2022-07-29 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

Security and Privacy in Cyber-Physical Systems

Author : Houbing Song
Publisher : John Wiley & Sons
ISBN 13 : 111922604X
Total Pages : 470 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Security and Privacy in Cyber-Physical Systems by : Houbing Song

Download or read book Security and Privacy in Cyber-Physical Systems written by Houbing Song and published by John Wiley & Sons. This book was released on 2017-11-13 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a team of experts at the forefront of the cyber-physical systems (CPS) revolution, this book provides an in-depth look at security and privacy, two of the most critical challenges facing both the CPS research and development community and ICT professionals. It explores, in depth, the key technical, social, and legal issues at stake, and it provides readers with the information they need to advance research and development in this exciting area. Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability far in excess of what today’s simple embedded systems can provide. Just as the Internet revolutionized the way we interact with information, CPS technology has already begun to transform the way people interact with engineered systems. In the years ahead, smart CPS will drive innovation and competition across industry sectors, from agriculture, energy, and transportation, to architecture, healthcare, and manufacturing. A priceless source of practical information and inspiration, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications is certain to have a profound impact on ongoing R&D and education at the confluence of security, privacy, and CPS.

Cybernetics and Control Theory in Systems

Author : Radek Silhavy
Publisher : Springer Nature
ISBN 13 : 3031703006
Total Pages : 843 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Cybernetics and Control Theory in Systems by : Radek Silhavy

Download or read book Cybernetics and Control Theory in Systems written by Radek Silhavy and published by Springer Nature. This book was released on with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data Security

Author : Shibakali Gupta
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110606054
Total Pages : 158 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Big Data Security by : Shibakali Gupta

Download or read book Big Data Security written by Shibakali Gupta and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-10-08 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.