Advanced Techniques Of Artificial Intelligence In It Security Systems
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Advanced Techniques of Artificial Intelligence in IT Security Systems
Author: Marcin Korytkowski
language: en
Publisher: Springer Nature
Release Date: 2024-02-19
The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as “glial networks” are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies
Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies the transformative role of AI in strengthening cybersecurity defenses. This a comprehensive guide to how AI-driven technologies can identify, analyze, and mitigate sophisticated cyber threats in real time. Covering advanced techniques in machine learning, anomaly detection, and behavioral analysis, it offers strategic insights for proactively defending against cyber attacks. Ideal for cybersecurity professionals, IT managers, and researchers, this book illuminates AI's potential to anticipate vulnerabilities and safeguard digital ecosystems against evolving threats.
Proceedings of 5th International Conference on Artificial Intelligence and Smart Energy
This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions. Over the last few years, artificial intelligence (AI) has been more deeply embedded in our lives, revolutionizing industries and communication. Intelligent computing models are now transforming traditional energy applications in this digital age through smart automation, optimization, and adaptation. The book addresses major facets of intelligent computing and communication technologies, such as intelligent data analysis, predictive modeling, optimization, neural networks, AI, machine learning, deep learning, and the Internet of Things (IoT). All these technologies are discussed in practical applications, e.g., smart cities and smart industries, their transformative possibilities.