Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response
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Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response
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Author : SHANMUGAM MUTHU
language : en
Publisher: RK Publication
Release Date :
Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response written by SHANMUGAM MUTHU and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Machine Learning and AI for Cybersecurity: Enhancing Threat Detection and Response explores how cutting-edge artificial intelligence and machine learning technologies are revolutionizing cybersecurity. This book provides a comprehensive overview of AI-driven threat detection, behavior-based anomaly analysis, and automated incident response systems. Covering key techniques such as deep learning, natural language processing, and reinforcement learning, it highlights real-world applications in malware detection, intrusion prevention, and phishing defense. Designed for researchers, professionals, and students, the book bridges the gap between theory and practice, offering practical insights into deploying intelligent cybersecurity solutions in an increasingly complex digital landscape.
Improving Threat Detection Network Security And Incident Response With Ai
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Author : Lutfi, Abdalwali
language : en
Publisher: IGI Global
Release Date : 2025-07-03
Improving Threat Detection Network Security And Incident Response With Ai written by Lutfi, Abdalwali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Computers categories.
Artificial intelligence (AI) strengthens cybersecurity by enhancing threat detection, fortifying network security, and streamlining incident response. Traditional security systems often struggle to manage modern cyber threats. AI addresses this challenge by analyzing data in real-time, identifying patterns and anomalies that may indicate malicious activity. Machine learning algorithms detect attacks and threats faster than humans, allowing organizations to respond proactively. In network security, AI helps in monitoring traffic, predicting vulnerabilities, and automatically implementing protective measures. AI-driven incident response tools assess the breaches, contain threats, and initiate recovery protocols. As cyber threats evolve, integrating AI into security infrastructure is essential for maintaining resilience in the digital age. Improving Threat Detection, Network Security, and Incident Response With AI explores the role of AI in cybersecurity, focusing on its applications in threat detection, malware analysis, network security, and incident response. It examines key AI techniques such as machine learning, deep learning, and natural language processing (NLP) that are transforming cybersecurity operations. This book covers topics such as robotics, software engineering, and behavioral analysis, and is a useful resource for computer engineers, security professionals, academicians, researchers, and data scientists.
Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies
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Author : Rajesh David
language : en
Publisher: RK Publication
Release Date : 2024-11-05
Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies written by Rajesh David and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
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.
Machine Intelligence Applications In Cyber Risk Management
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Author : Almaiah, Mohammed Amin
language : en
Publisher: IGI Global
Release Date : 2024-11-29
Machine Intelligence Applications In Cyber Risk Management written by Almaiah, Mohammed Amin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
In an era where cyber threats are increasingly sophisticated and persistent, the intersection of machine intelligence and cyber-risk management represents a pivotal frontier in the defense against malicious actors. The rapid advancements of artificial intelligence (AI) and machine learning (ML) technologies offer unprecedented capabilities for identifying, analyzing, and mitigating cyber risks. These technologies not only improve the speed and accuracy of identifying potential threats but also enable proactive and adaptive security measures. Machine Intelligence Applications in Cyber-Risk Management explores the diverse applications of machine intelligence in cyber-risk management, providing a comprehensive overview of how AI and ML algorithms are utilized for automated incident response, threat intelligence gathering, and dynamic security postures. It addresses the pressing need for innovative solutions to combat cyber threats and offer insights into the future of cybersecurity, where machine intelligence plays a crucial role in creating resilient and adaptive defense mechanisms. Covering topics such as anomy detection algorithms, malware detection, and wireless sensor networks (WSNs), this book is an excellent resource for cybersecurity professionals, researchers, academicians, security analysts, threat intelligence experts, IT managers, and more.
Cyber Security Essentials Comprehensive Guide To Protecting Information And Digital Infrastructures
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Author : VENKATA REDDY THUMMALA PROF MANDEEP KUMAR
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-15
Cyber Security Essentials Comprehensive Guide To Protecting Information And Digital Infrastructures written by VENKATA REDDY THUMMALA PROF MANDEEP KUMAR and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
In an age where digital technologies underpin every aspect of modern life, the protection of information and digital infrastructures has never been more critical. From individuals to multinational corporations, from governments to small businesses, cybersecurity has become a foundational element of trust, privacy, and operational continuity. As cyber threats continue to grow in sophistication, frequency, and impact, the need for comprehensive, proactive, and scalable security measures is undeniable. "Cyber Security Essentials: Comprehensive Guide to Protecting Information and Digital Infrastructures" is designed to provide readers with the essential knowledge and practical strategies needed to safeguard their digital environments. Whether you are a cybersecurity professional, a business leader, or someone seeking to understand how to protect personal data, this book will offer valuable insights into the evolving world of cyber threats and defenses. In this comprehensive guide, we explore the core principles of cybersecurity, from understanding vulnerabilities and risk management to implementing cutting-edge technologies that protect data, networks, and systems. We emphasize a holistic approach to security, one that integrates technical defenses, organizational strategies, and human factors to create a resilient and secure digital ecosystem. Cybersecurity is no longer the responsibility of just the IT department. With the growing complexity of the digital landscape and the increasing prevalence of cyberattacks, security must be ingrained in every aspect of business and society. In this book, we delve into the fundamental concepts of cybersecurity—explaining topics such as encryption, authentication, firewalls, intrusion detection, and incident response—in a way that is accessible to both technical and non-technical readers. Through real-world case studies and actionable advice, we offer practical guidance on securing everything from personal devices to enterprise infrastructures. We also highlight emerging trends in cybersecurity, such as artificial intelligence, machine learning, and the Internet of Things (IoT), and examine their role in shaping the future of digital security. Whether you are responsible for securing critical systems, managing data privacy, or ensuring compliance with industry regulations, this book will serve as your go-to resource for understanding and addressing the complex challenges of modern cybersecurity. By empowering readers with the knowledge to recognize threats, implement defenses, and respond effectively, we hope to equip you with the tools necessary to navigate the ever-changing world of cyber risks and safeguard your digital assets. Welcome to the essential guide to protecting information and digital infrastructures in the 21st century. Authors
Practical And Advanced Machine Learning Methods For Model Risk Management
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Author : INDRA REDDY MALLELA NAGARJUNA PUTTA PROF.(DR.) AVNEESH KUMAR
language : en
Publisher: DeepMisti Publication
Release Date : 2024-12-22
Practical And Advanced Machine Learning Methods For Model Risk Management written by INDRA REDDY MALLELA NAGARJUNA PUTTA PROF.(DR.) AVNEESH KUMAR and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-22 with Computers categories.
In today’s fast-evolving landscape of artificial intelligence (AI) and machine learning (ML), organizations are increasingly relying on advanced models to drive decision-making and innovation across various sectors. As machine learning technologies grow in complexity and scale, managing the risks associated with these models becomes a critical concern. From biases in algorithms to the interpretability of predictions, the potential for errors and unintended consequences demands rigorous frameworks for assessing and mitigating risks. "Practical and Advanced Machine Learning Methods for Model Risk Management" explores these challenges in depth. It is designed to provide both foundational knowledge and advanced techniques for effectively managing model risks throughout their lifecycle—from development and deployment to monitoring and updating. This book caters to professionals working in data science, machine learning engineering, risk management, and governance, offering a comprehensive understanding of how to balance model performance with robust risk management practices. The book begins with a strong foundation in the principles of model risk management (MRM), exploring the core concepts of risk identification, assessment, and mitigation. From there, it dives into more advanced techniques for managing risks in complex ML models, including methods for ensuring model fairness, transparency, and interpretability, as well as strategies for dealing with adversarial attacks, data security concerns, and ethical considerations. Throughout, we emphasize the importance of collaboration between data scientists, risk professionals, and organizational leaders in creating a culture of responsible AI. This collaborative approach is crucial for building models that not only perform at the highest levels but also adhere to ethical standards and regulatory requirements. By the end of this book, readers will have a deep understanding of the critical role that risk management plays in AI and machine learning, as well as the practical tools and methods needed to implement a comprehensive MRM strategy. Whether you are just beginning your journey in model risk management or are seeking to refine your existing processes, this book serves as an essential resource for navigating the complexities of machine learning in today’s rapidly changing technological landscape. We hope this book equips you with the knowledge to effectively address the risks of ML models and apply these insights to improve both the performance and trustworthiness of your AI systems. Thank you for embarking on this journey with us. Authors
Information Systems
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Author : Marinos Themistocleous
language : en
Publisher: Springer Nature
Release Date : 2025-03-01
Information Systems written by Marinos Themistocleous and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
The two-volume set LNBIP 535 + 536 constitutes selected papers from the 21st European, Mediterranean, and Middle Eastern Conference, EMCIS 2024, which was held in Athens, Greece, during September 2-3, 2024. EMCIS covers technical, organizational, business, and social issues in the application of information technology and is dedicated to the definition and establishment of Information Systems (IS) as a discipline of high impact for IS professionals and practitioners. It focuses on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 53 papers presented in the proceedings were carefully reviewed and selected from a total of 152 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence; Blockchain Technology and Applications; Metaverse, Immersive Technologies and Games; Smart Cities; Classical and Emerging Digital Governance – The Artificial Intelligence Era; Part II: Management Information Systems; Advanced Topics in Information Systems; Core Topics in Information Systems; Information Systems Security, Information Privacy Protection and Trust Management.
Sustainable Information Security In The Age Of Ai And Green Computing
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Sustainable Information Security In The Age Of Ai And Green Computing written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
The convergence of artificial intelligence (AI), green computing, and information security can create sustainable, efficient, and secure IT systems. That is, the latest advancements in leveraging AI may minimize environmental impact, optimize resource usage, and bolster cybersecurity within green IT frameworks. Thus, a holistic view of AI can drive sustainable innovation in computing and information systems. This is important for raising awareness about the importance of sustainability in the tech industry and promoting the adoption of green computing practices among IT professionals and organizations. Sustainable Information Security in the Age of AI and Green Computing contributes to a deeper understanding of the synergies between AI, green computing, and information security, highlighting how these fields can work together to create more sustainable and secure systems. By presenting cutting-edge research, practical solutions, and future trends, the book inspires new ideas and developments in sustainable IT practices and technologies. Covering topics such as digital ecosystems, malware detection, and carbon emission optimization, this book is an excellent resource for IT managers, data center operators, software developers, cybersecurity experts, policymakers, corporate decision-makers, professionals, researchers, scholars, academicians, and more.
Cutting Edge Technologies For Business Sectors
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Author : Ertuğrul, Duygu Çelik
language : en
Publisher: IGI Global
Release Date : 2024-10-17
Cutting Edge Technologies For Business Sectors written by Ertuğrul, Duygu Çelik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Business & Economics categories.
In the rapidly evolving 21st century, emerging digital technologies are transforming every aspect of modern life, from social interactions to business practices. These advancements are reshaping industries, influencing human behavior, and redefining societal structures. Understanding the impact of technologies like AI, blockchain, and virtual reality is crucial for navigating today's digital world and its challenges. Cutting-Edge Technologies for Business Sectors provides a comprehensive look at how these innovations are revolutionizing industries such as healthcare, education, law, and tourism. By exploring the ethical, practical, and societal implications of digital tools, this volume offers valuable insights for academics, professionals, and policymakers looking to harness the power of technology and shape the future.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.