Название: Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity SolutionsАвтор: Pethuru Raj, B. Sundaravadivazhagan, V. Kavitha
Издательство: Apple Academic Press, CRC Press
Год: 2025
Страниц: 580
Язык: английский
Формат: pdf (true)
Размер: 32.6 MB
Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them.
With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including Big Data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, Machine Learning approaches, Deep Learning, blockchain technology, convolutional neural networks, and more.
Machine and Deep Learning (ML/DL) models are being established and deployed to receive and analyze all kinds of log and security-related event data instantaneously to supply actionable insights and to activate the appropriate countermeasures in time. Therefore, any cybersecurity attack can be nipped in the budding stage.
AI technologies and tools are inherently capable of processing Big Data quickly and pinpointing useful patterns, rules, associations, and other insights hidden in data heaps. Cyber threats, such as malware menaces, illegal attempts to steal information, and phishing attacks, can be easily identified and articulated in time to plunge into corrective actions immediately. Machine and Deep Learning models are intrinsically empowered to learn from data streams continuously to enhance prediction accuracy. New types of cyberattacks can be identified, and necessary actions can be taken to avoid any kind of business disruption.
In this book, we primarily focus on various kinds of cybersecurity problems and detail them to educate our esteemed readers. Then, how AI algorithms and models come in handy in eliminating those attacks is illustrated through many chapters. How AI is elevating its competency in detecting new threats is also dealt with in detail. Other chapters focus on the following topics.
It is well-known that by using sophisticated Machine and Deep Learning algorithms, it is possible for advanced AI systems to proactively and preemptively detect malware and ransomware attacks and to recognize unique patterns therein. The natural language processing (NLP) capability can go through articles, news, blogs, white papers, etc., to assist in cyberattack prediction. Anomaly or outlier detection helps here. AI can also contribute to attack prediction and to formulating a workable and winnable prescription strategy.
AI can also battle against bots. Bots are dangerous as they can take over accounts with stolen credentials. Bots can do bogus account creation as well. AI can do breach risk prediction. Any IT environment is blessed with the IT asset inventory, which is a detailed record of all devices, users, and applications with different levels of access to various systems. By considering the asset inventory and threat exposure, AI systems can predict which applications can be compromised so that remedial measures can be taken quickly.
Some unique features of this book include:
Detailed overview of various security analytics techniques and tools
Comprehensive descriptions of the emerging and evolving aspects of Artificial Intelligence (AI) technologies
Industry case studies for practical comprehension and application
This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry.
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