Advances in Artificial Intelligence for Privacy Protection and Security

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Author :
Publisher : World Scientific Publishing Company Incorporated
ISBN 13 : 9789812790323
Total Pages : 391 pages
Book Rating : 4.7/5 (93 download)

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Book Synopsis Advances in Artificial Intelligence for Privacy Protection and Security by : Agusti Solanas

Download or read book Advances in Artificial Intelligence for Privacy Protection and Security written by Agusti Solanas and published by World Scientific Publishing Company Incorporated. This book was released on 2010 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collects the developments in artificial intelligence techniques, which are applied to the protection of privacy and security.

Computational Intelligence for Privacy and Security

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642252362
Total Pages : 262 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Intelligence for Privacy and Security by : David Elizondo

Download or read book Computational Intelligence for Privacy and Security written by David Elizondo and published by Springer Science & Business Media. This book was released on 2012-01-13 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of invited papers on Computational Intelligence for Privacy and Security. The majority of the chapters are extended versions of works presented at the special session on Computational Intelligence for Privacy and Security of the International Joint Conference on Neural Networks (IJCNN-2010) held July 2010 in Barcelona, Spain. The book is devoted to Computational Intelligence for Privacy and Security. It provides an overview of the most recent advances on the Computational Intelligence techniques being developed for Privacy and Security. The book will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of Computational Intelligence for Privacy and Security.

Cyber Security, Artificial Intelligence, Data Protection & the Law

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Author :
Publisher : Springer Nature
ISBN 13 : 9811616655
Total Pages : 464 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Cyber Security, Artificial Intelligence, Data Protection & the Law by : Robert Walters

Download or read book Cyber Security, Artificial Intelligence, Data Protection & the Law written by Robert Walters and published by Springer Nature. This book was released on 2021-08-24 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comparison and practical guide of the data protection laws of Canada, China (Hong Kong, Macau, Taiwan), Laos, Philippines, South Korea, United States and Vietnam. The book builds on the first book Data Protection Law. A Comparative Analysis of Asia-Pacific and European Approaches, Robert Walters, Leon Trakman, Bruno Zeller. As the world comes to terms with Artificial Intelligence (AI), which now pervades the daily lives of everyone. For instance, our smart or Iphone, and smart home technology (robots, televisions, fridges and toys) access our personal data at an unprecedented level. Therefore, the security of that data is increasingly more vulnerable and can be compromised. This book examines the interface of cyber security, AI and data protection. It highlights and recommends that regulators and governments need to undertake wider research and law reform to ensure the most vulnerable in the community have their personal data protected adequately, while balancing the future benefits of the digital economy.

Recent Trends in Computational Intelligence Enabled Research

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Author :
Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Recent Trends in Computational Intelligence Enabled Research by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. - Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques - Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Cyber Security: Issues and Current Trends

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Author :
Publisher : Springer Nature
ISBN 13 : 9811665974
Total Pages : 183 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Cyber Security: Issues and Current Trends by : Nitul Dutta

Download or read book Cyber Security: Issues and Current Trends written by Nitul Dutta and published by Springer Nature. This book was released on 2021-10-30 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various areas related to cybersecurity. Different techniques and tools used by cyberattackers to exploit a system are thoroughly discussed and analyzed in their respective chapters. The content of the book provides an intuition of various issues and challenges of cybersecurity that can help readers to understand and have awareness about it. It starts with a very basic introduction of security, its varied domains, and its implications in any working organization; moreover, it will talk about the risk factor of various attacks and threats. The concept of privacy and anonymity has been taken into consideration in consecutive chapters. Various topics including, The Onion Router (TOR) and other anonymous services, are precisely discussed with a practical approach. Further, chapters to learn the importance of preventive measures such as intrusion detection system (IDS) are also covered. Due to the existence of severe cyberattacks, digital forensics is a must for investigating the crime and to take precautionary measures for the future occurrence of such attacks. A detailed description of cyberinvestigation is covered in a chapter to get readers acquainted with the need and demands. This chapter deals with evidence collection from the victim's device and the system that has importance in the context of an investigation. Content covered in all chapters is foremost and reported in the current trends in several journals and cybertalks. The proposed book is helpful for any reader who is using a computer or any such electronic gadget in their daily routine. The content of the book is prepared to work as a resource to any undergraduate and graduate-level student to get aware about the concept of cybersecurity, various cyberattacks, and threats in the security. In addition to that, it aimed at assisting researchers and developers to build a strong foundation for security provisioning in any newer technology which they are developing.

Research Anthology on Artificial Intelligence Applications in Security

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Author :
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.

Artificial Intelligence and Data Mining Approaches in Security Frameworks

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119760402
Total Pages : 322 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Artificial Intelligence and Data Mining Approaches in Security Frameworks by : Neeraj Bhargava

Download or read book Artificial Intelligence and Data Mining Approaches in Security Frameworks written by Neeraj Bhargava and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

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Author :
Publisher : Springer Nature
ISBN 13 : 3030722368
Total Pages : 467 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities by : Sanjay Misra

Download or read book Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities written by Sanjay Misra and published by Springer Nature. This book was released on 2021-05-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020)

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Publisher : Springer Nature
ISBN 13 : 3030578054
Total Pages : 477 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) by : Álvaro Herrero

Download or read book 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) written by Álvaro Herrero and published by Springer Nature. This book was released on 2020-08-27 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains accepted papers presented at CISIS 2020 held in the beautiful and historic city of Burgos (Spain), in September 2020. The aim of the CISIS 2020 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a thorough peer-review process, the CISIS 2020 International Program Committee selected 43 papers which are published in these conference proceedings achieving an acceptance rate of 28%. Due to the COVID-19 outbreak, the CISIS 2020 edition was blended, combining on-site and on-line participation. In this relevant edition, a special emphasis was put on the organization of five special sessions related to relevant topics as Fake News Detection and Prevention, Mathematical Methods and Models in Cybersecurity, Measurements for a Dynamic Cyber-Risk Assessment, Cybersecurity in a Hybrid Quantum World, Anomaly/Intrusion Detection, and From the least to the least: cryptographic and data analytics solutions to fulfil least minimum privilege and endorse least minimum effort in information systems. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the CISIS conference would not exist without their help.

Artificial Intelligence and Global Security

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Publisher : Emerald Group Publishing
ISBN 13 : 1789738113
Total Pages : 217 pages
Book Rating : 4.7/5 (897 download)

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Book Synopsis Artificial Intelligence and Global Security by : Yvonne R. Masakowski

Download or read book Artificial Intelligence and Global Security written by Yvonne R. Masakowski and published by Emerald Group Publishing. This book was released on 2020-07-15 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.

Artificial Intelligence Safety and Security

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Publisher : CRC Press
ISBN 13 : 1351251368
Total Pages : 597 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Artificial Intelligence Safety and Security by : Roman V. Yampolskiy

Download or read book Artificial Intelligence Safety and Security written by Roman V. Yampolskiy and published by CRC Press. This book was released on 2018-07-27 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us, its inventors. Numerous recent advancements in all aspects of research, development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence. The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension.

Implications of Artificial Intelligence for Cybersecurity

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Author :
Publisher : National Academies Press
ISBN 13 : 0309494508
Total Pages : 99 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Implications of Artificial Intelligence for Cybersecurity by : National Academies of Sciences, Engineering, and Medicine

Download or read book Implications of Artificial Intelligence for Cybersecurity written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-01-27 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.

Computational Intelligence in the Internet of Things

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Publisher : IGI Global
ISBN 13 : 1522579567
Total Pages : 363 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Computational Intelligence in the Internet of Things by : Purnomo, Hindriyanto Dwi

Download or read book Computational Intelligence in the Internet of Things written by Purnomo, Hindriyanto Dwi and published by IGI Global. This book was released on 2019-03-15 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.

Data Mining with Computational Intelligence

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540288031
Total Pages : 280 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Data Mining with Computational Intelligence by : Lipo Wang

Download or read book Data Mining with Computational Intelligence written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2005-12-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others. Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions.

Advances In Artificial Intelligence For Privacy Protection And Security

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Author :
Publisher : World Scientific
ISBN 13 : 9814472034
Total Pages : 402 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Advances In Artificial Intelligence For Privacy Protection And Security by : Agusti Solanas

Download or read book Advances In Artificial Intelligence For Privacy Protection And Security written by Agusti Solanas and published by World Scientific. This book was released on 2009-08-03 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas, which are explored in this book.On the one hand, individual privacy protection is a hot topic and must be addressed in order to guarantee the proper evolution of a modern society. On the other, security can invade individual privacy, especially after the appearance of new forms of terrorism. In this book, we analyze these problems from a new point of view.

Proceedings of Fifth Doctoral Symposium on Computational Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 9819760364
Total Pages : 599 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of Fifth Doctoral Symposium on Computational Intelligence by : Abhishek Swaroop

Download or read book Proceedings of Fifth Doctoral Symposium on Computational Intelligence written by Abhishek Swaroop and published by Springer Nature. This book was released on with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence for Cybersecurity Management and Applications

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Author :
Publisher : CRC Press
ISBN 13 : 1000853349
Total Pages : 249 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence for Cybersecurity Management and Applications by : Yassine Maleh

Download or read book Computational Intelligence for Cybersecurity Management and Applications written by Yassine Maleh and published by CRC Press. This book was released on 2023-04-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book’s explanations of key topics. It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.