Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience
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Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience
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Author : Laxmana Murthy Karaka
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :
Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience written by Laxmana Murthy Karaka and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Emerging Trends In Information System Security Using Ai Data Science For Next Generation Cyber Analytics
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Author : Faisal Rehman
language : en
Publisher: Springer Nature
Release Date : 2025-05-19
Emerging Trends In Information System Security Using Ai Data Science For Next Generation Cyber Analytics written by Faisal Rehman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Computers categories.
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats.
The Ai Shield Defending Against Zero Day Threats With Intelligent Ids
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Author : Mr. Amit Banwari Gupta, Mr. Mohammad Majharul Islam Jabed
language : en
Publisher: QUILL TECH PUBLICATIONS
Release Date : 2025-05-15
The Ai Shield Defending Against Zero Day Threats With Intelligent Ids written by Mr. Amit Banwari Gupta, Mr. Mohammad Majharul Islam Jabed and has been published by QUILL TECH PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with categories.
"The AI Shield: Defending Against Zero-Day Threats with Intelligent IDS" is a comprehensive guide that explores the integration of artificial intelligence into cybersecurity systems, specifically focusing on the detection and prevention of zero-day threats using intelligent intrusion detection systems (IDS). The book begins by establishing the foundational concepts of AI, machine learning, and cybersecurity, then progresses to discuss various IDS architectures and their limitations in handling modern, sophisticated cyberattacks. It delves deeply into the role of machine learning and deep learning models in enhancing threat detection capabilities, offering practical insights into model development, data handling, and evaluation techniques. Central to the book is the concept of "The AI Shield," a multi-layered, adaptive, and autonomous defense framework that leverages real-time analytics and self-learning mechanisms to identify and respond to emerging threats. Concluding with case studies, deployment strategies, and a discussion on ethical challenges and future trends, the book serves as both a technical reference and strategic roadmap for researchers, developers, and cybersecurity professionals aiming to build next-generation defense systems.
Pioneering Ai And Data Technologies For Next Gen Security Iot And Smart Ecosystems
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Author : John Joseph, Ferdin Joe
language : en
Publisher: IGI Global
Release Date : 2025-06-24
Pioneering Ai And Data Technologies For Next Gen Security Iot And Smart Ecosystems written by John Joseph, Ferdin Joe and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
Pioneering AI and data technologies redefines next-generation security, Internet of Things (IoT), and smart ecosystems. By integrating intelligent algorithms with real-time data, these technologies enable more responsive, adaptive, and predictive systems across urban infrastructure, industrial environments, and connected devices. In security, AI strengthens threat detection and response, while in IoT, it enhances smarter automation and efficient resource management. Together with advanced data analytics, these innovations drive interconnected ecosystems that are more intelligent and secure, as well as more sustainable and resilient when facing global challenges. Pioneering AI and Data Technologies for Next-Gen Security, IoT, and Smart Ecosystems explores the integration of intelligent technologies into security, automation, and smart business sectors. It presents solutions for enhanced threat detection, data analysis, and predictive maintenance. This book covers topics such as digital technology, cloud computing, and deep learning, and is a useful resource for computer engineers, security professionals, business owners, academicians, researchers, and data scientists.
Artificial Intelligence And Machine Learning In Cyber Security
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Author : Mark Hayward
language : en
Publisher: Mark Hayward
Release Date : 2025-06-06
Artificial Intelligence And Machine Learning In Cyber Security written by Mark Hayward and has been published by Mark Hayward this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence. These tasks include understanding language, recognizing patterns, solving problems, and making decisions. AI systems can process vast amounts of data quickly and adapt their responses based on new information, which makes them particularly valuable in monitoring and responding to cyber threats. Machine Learning (ML), a subset of AI, focuses specifically on algorithms that enable computers to learn from data without being explicitly programmed for every specific task. In recent years, AI and ML have gained widespread attention for their potential to dramatically enhance cybersecurity defenses
Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions
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Author : B. Sundaravadivazhagan
language : en
Publisher: Apple Academic Press
Release Date : 2024-11-22
Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions written by B. Sundaravadivazhagan and has been published by Apple Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
Details the types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. Discusses roles of AI in attack prediction and prescription strategies, AI's capacity of battling bots, other security uses of AI, including facilitating cyber resilience, guaranteeing endpoint protection, etc.
Ai For Cybersecurity
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Author : StoryBuddiesPlay
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-04-06
Ai For Cybersecurity written by StoryBuddiesPlay and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-06 with Computers categories.
Conquer Cybersecurity Challenges with AI: Your Ultimate Guide In today's ever-connected world, cyber threats loom large. Traditional security methods struggle to keep pace with the sophistication and speed of modern attacks. But there's a new weapon in the fight for digital defense: Artificial Intelligence (AI). This comprehensive guide explores how AI is revolutionizing cybersecurity, empowering businesses and individuals to build a more secure future. Demystifying AI for Cybersecurity: Unveiling the magic behind the curtain, this guide dives into the world of AI and machine learning (ML). We'll explain how AI algorithms analyze vast amounts of data, identify patterns, and predict potential attacks, acting as a vigilant guardian on your digital watchtower. AI's Arsenal of Defensive Tools: From proactive threat detection and prevention to swift incident response and forensics, discover how AI empowers your security team. Explore how AI can identify vulnerabilities before attackers exploit them, analyze network traffic for suspicious activity, and automate the analysis of security alerts, saving valuable time and resources. AI Outmaneuvering Phishing Attacks: Phishing scams remain a persistent threat. This guide unveils how AI thwarts these attempts with deception and advanced detection. Learn about honeypots that lure attackers away from real systems, and AI-powered simulations that train employees to identify phishing tactics. Discover how AI analyzes email content and user behavior to flag suspicious attempts before they cause harm. Understanding User Behavior with UEBA: Imagine a guardian angel monitoring your network for unusual activity. UEBA (User and Entity Behavior Analytics) is just that. This guide explores how AI analyzes user and entity behavior to identify potential insider threats or compromised accounts. Learn how UEBA establishes baselines for normal activity and flags anomalies that might indicate a security breach. Securing the Cloud with AI's Power: The cloud offers flexibility and scalability, but security concerns remain. This guide delves into how AI safeguards cloud-based infrastructure and data. Discover how AI continuously monitors cloud workloads, detects threats in real-time, and automates certain security responses, minimizing the impact of incidents. Beyond the Technology: The Human Element While AI offers immense potential, human expertise remains irreplaceable. This guide emphasizes the importance of collaboration between humans and AI. Explore how security professionals leverage AI insights to make critical decisions and ensure ethical considerations are addressed throughout the cybersecurity process. The Future of AI and Cybersecurity: A Collaborative Journey The cybersecurity landscape is constantly evolving, and AI is at the forefront of this transformation. This guide explores the exciting possibilities and ongoing challenges that lie ahead, including AI's ability to adapt to emerging threats and the potential for automated incident response. Embrace a Secure Future with AI: This guide empowers you to understand AI's role in cybersecurity. By leveraging this powerful technology responsibly, you can build a more robust defense against cyber threats. Take the first step towards a more secure digital future – explore the power of AI in cybersecurity today!
Ai Driven Cybersecurity And Threat Intelligence
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Author : Iqbal H. Sarker
language : en
Publisher: Springer Nature
Release Date : 2024-04-28
Ai Driven Cybersecurity And Threat Intelligence written by Iqbal H. Sarker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-28 with Computers categories.
This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world. Overall, the useof AI can transform the way one detects, responds and defends against threats, by enabling proactive threat detection, rapid response and adaptive defense mechanisms. AI-driven cybersecurity systems excel at analyzing vast datasets rapidly, identifying patterns that indicate malicious activities, detecting threats in real time as well as conducting predictive analytics for proactive solution. Moreover, AI enhances the ability to detect anomalies, predict potential threats, and respond swiftly, preventing risks from escalated. As cyber threats become increasingly diverse and relentless, incorporating AI/XAI into cybersecurity is not just a choice, but a necessity for improving resilience and staying ahead of ever-changing threats. This book targets advanced-level students in computer science as a secondary textbook. Researchers and industry professionals working in various areas, such as Cyber AI, Explainable and Responsible AI, Human-AI Collaboration, Automation and Intelligent Systems, Adaptive and Robust Security Systems, Cybersecurity Data Science and Data-Driven Decision Making will also find this book useful as reference book.
The Next Frontier In Cybersecurity Integrating Ai Ml And Generative Ai For Advanced Protection
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Author : Dr Sivaraju Kuraku
language : en
Publisher: JEC PUBLICATION
Release Date :
The Next Frontier In Cybersecurity Integrating Ai Ml And Generative Ai For Advanced Protection written by Dr Sivaraju Kuraku and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Architecture categories.
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Explainable Artificial Intelligence For Cyber Security
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Author : Mohiuddin Ahmed
language : en
Publisher: Springer Nature
Release Date : 2022-04-18
Explainable Artificial Intelligence For Cyber Security written by Mohiuddin Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-18 with Computers categories.
This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.