Textbook in PDF format

This book provides theoretical background and state-of-the-art findings in Artificial Intelligence and cybersecurity for Industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine Learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in Big Data security relevant sciences, technologies, and applications.
One strategy that can be employed successfully in cybersecurity is Artificial Intelligence (AI). AI is regarded as the intelligence being added in digital devices and computer-operated devices to perform n number of tasks like a human. It mainly focuses on studying the brain’s cognitive process and activities to employ in developing devices and software with human intelligence. Fighting cyberattacks has been made much easier thanks to two recently developed fields of AI: Machine Learning (ML) and Deep Learning (DL). The primary goal of AI is to teach computers to think, learn, act, and behave intelligently and cognitively like humans.
Everyone is connected via internet today. This means, there are numerous personal and public data available on internet that can lead to many cyber security issues. Manual analysis of this data is impossible given its sheer volume, and for the same reason, cost to prevent attacks on such large volume of data is also too high. Designing and implementing new algorithms for every new threat that uncovers itself require lot of effort, money and time. AI comes to the rescue here, by examining huge data accurately and more efficiently within a short period of time. Even with ever-changing threat patterns, AI can predict similar type of attacks that can happen in future and avoid it by using the threat history. The main reason that AI is a perfect fit for cyber security is because: it can handle huge data volume, it can predict and discover new possible attacks and it learns continuously from its environment to respond better to future threats. Artificial Intelligence can single handily reduce the response time and improve the network security when an attack or any malicious activity is detected