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Computational Intelligence for Cybersecurity Management and Applications

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. Computational Intelligence for Cybersecurity Management and Applications collects and reports on recent high-quality research addressing different cybersecurity challenges. It: Explore the newest developments in the use of computational intelligence and AI for cybersecurity applications; Provide several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (Smart Healthcare, Blockchain, Cyber-Physical System, etc.); Integrate 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. The book 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.

Advancing blockchain is about increasing speed, safety, and availability for financial and banking users. ... As a result, a person or entity of the financial in- stitution may act as an intermediary between the bank and a customer at ...

Combating Fake News with Computational Intelligence Techniques

This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.

[15] stated, fake news publishers usually have an intent to mislead the reader and influence a larger group of people, and for that purpose, a specific style of writing is used, thus it is reasonable to make use of linguistic features ...