Yassine Maleh (editor) - Artificial Intelligence and Blockchain for Future Cybersecurity Applications (Studies in Big Data, 90)

The series Studies in Big Data (SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence including neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.

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Cyber threats increase as firms, governments and consumers rely on digital systems for their day-to-day activities. The more they adopt the technologies, the higher the risks they face. Additionally, new solutions to facilitate everyday businesses, such as artificial intelligence for operational systems and enormous IT databases, create complexity. However, these new technologies can also be their most reliable allies! They can provide new protection levels that make a strong shield of protection against hackers if properly designed and integrated. There is growth in IoT use, which increases the risk for organizations and the need for data protection policies. Organizations are not taking enough steps to secure themselves from cyber-attacks; ultimately, there will be an increase in attack size and volume.

AI and blockchain technologies have infiltrated all areas of our lives, from manufacturing to health care and beyond. Cybersecurity is an industry that has been significantly affected by this technology and maybe more so in the future.

Artificial intelligence and blockchain have shown potential in providing various methods for threat detection. Merging artificial intelligence and blockchain will change cybersecurity as we know it and make next-generation solutions more effective.

An open cybersecurity ecosystem, powered by a blockchain, will unlock the enormous opportunity to protect against next-generation threats, eliminate the strain and cost of third-party intermediaries, and ensure a more secure world.

The combination of cyber threat data integrated with artificial intelligence and blockchain is arguably the future of AI-powered cybersecurity.

Each chapter is reviewed at least by two members of the editorial board. Evaluation criteria include correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the book scope. This books chapters provide a collection of high-quality research works that address broad challenges in both theoretical and application aspects of artificial intelligence and blockchain for future cybersecurity applications.

We want to take this opportunity and express our thanks to the contributors to this volume and the reviewers for their great efforts by reviewing and providing interesting feedback to the authors of the chapters. The editors would like to thank Dr. Thomas Ditsinger (Springer, Editorial Director, Interdisciplinary Applied Sciences), Professor Janusz Kacprzyk (Series Editor in Chief) and Ms. Rini Christy Xavier Rajasekaran (Springer Project Coordinator), for the editorial assistance and support to produce this important scientific work. Without this collective effort, this book would not have been possible to be completed.