Ai Driven Social Media Analytics And Cybersecurity
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Ai Driven Social Media Analytics And Cybersecurity
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Author : Wael M.S. Yafooz
language : en
Publisher: Springer Nature
Release Date : 2025-03-03
Ai Driven Social Media Analytics And Cybersecurity written by Wael M.S. Yafooz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Computers categories.
This book presents state-of-the-art research, conceptual frameworks, and practical solutions, focusing on the intersection of these vital fields. The ever-evolving digital landscape has fostered a close relationship between social media and cybersecurity. Both social media analytics and cybersecurity are prominent research areas that shape the lives of individuals, organizations, and communities. It covers three key categories: First, social media analytics, which explores how data from platforms like Twitter and Facebook is harnessed for insights, sentiment analysis, and trend predictions. Second, cybersecurity and digital safety, which addresses emerging threats and explores tools and strategies to secure digital spaces. Third, advanced technologies and their broader impacts, which examines the technologies shaping social media platforms. This book is an invaluable resource for researchers, professionals, and students, providing comprehensive insights into the application of advanced technologies and analytical techniques for safeguarding digital environments. It is essential reading for anyone interested in social media analytics, digital safety, and the future of technology.
Ai Driven Healthcare Cybersecurity And Privacy
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Author : Kulkarni, Shrikaant
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Ai Driven Healthcare Cybersecurity And Privacy written by Kulkarni, Shrikaant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Medical categories.
As healthcare systems adopt advanced technologies like electronic health records, telemedicine, and wearable health devices, the volume of sensitive information grows, making it a target for cyberattacks. Artificial intelligence (AI) enhances security by offering real-time threat detection, anomaly identification, and adaptive defenses that can anticipate and counter cyber threats. AI plays a pivotal role in ensuring privacy by implementing advanced encryption techniques, access controls, and compliance monitoring, all while maintaining patient care. Further research of the integration of AI into healthcare cybersecurity strategies may assist organizations in strengthening their defenses, protecting patient confidentiality, and ensuring regulatory compliance in a digital landscape. AI-Driven Healthcare Cybersecurity and Privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients’ medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.
Cloud Guardians Ai Driven Cybersecurity In The Cloud Era
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Author : Amit Goswami
language : en
Publisher: JEC PUBLICATION
Release Date :
Cloud Guardians Ai Driven Cybersecurity In The Cloud Era written by Amit Goswami 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 Computers categories.
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Artificial Intelligence For Cybersecurity
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Author : Bojan Kolosnjaji
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-31
Artificial Intelligence For Cybersecurity written by Bojan Kolosnjaji and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.
Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organization Key Features Familiarize yourself with AI methods and approaches and see how they fit into cybersecurity Learn how to design solutions in cybersecurity that include AI as a key feature Acquire practical AI skills using step-by-step exercises and code examples Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionArtificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables. Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You’ll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that’ll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them. By the end of this book, you’ll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods.What you will learn Recognize AI as a powerful tool for intelligence analysis of cybersecurity data Explore all the components and workflow of an AI solution Find out how to design an AI-based solution for cybersecurity Discover how to test various AI-based cybersecurity solutions Evaluate your AI solution and describe its advantages to your organization Avoid common pitfalls and difficulties when implementing AI solutions Who this book is for This book is for machine learning practitioners looking to apply their skills to overcome cybersecurity challenges. Cybersecurity workers who want to leverage machine learning methods will also find this book helpful. Fundamental concepts of machine learning and beginner-level knowledge of Python programming are needed to understand the concepts present in this book. Whether you’re a student or an experienced professional, this book offers a unique and valuable learning experience that will enable you to protect your network and data against the ever-evolving threat landscape.
Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai
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Author : Dr Sivaraju Kuraku
language : en
Publisher: JEC PUBLICATION
Release Date :
Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai 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 Fiction categories.
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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.
Driving Socio Economic Growth With Ai And Blockchain
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Author : Gwala, Ranson Sifiso
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Driving Socio Economic Growth With Ai And Blockchain written by Gwala, Ranson Sifiso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
In an era of rapid technological advancement, artificial intelligence (AI) and blockchain emerge as powerful catalysts for driving socio-economic growth. These innovations reshape industries, streamline processes, and unlock new opportunities for economic development. AI enhances productivity and innovation across sectors like healthcare, finance, and education. Meanwhile, blockchain's decentralized and secure practices transform industries by ensuring transparency, reducing fraud, and enabling efficient transactions. Together, AI and blockchain have the potential to create a more equitable and successful society by fostering inclusive growth, driving job creation, and improving access to essential services. Further exploration into how these technologies are driving socio-economic progress may highlight their impact on global economies and the future of work. Driving Socio-Economic Growth With AI and Blockchain examines the applications of blockchain technology and AI as catalysts for social and economic development. It discusses the use of these technologies in reaching sustainable development goals (SDGs) and increasing global economic growth. This book covers topics such as data science, financial technology, and sociology, and is a useful resource for data scientists, economists, sociologists, computer engineers, academicians, and researchers.
Ai In Cybersecurity
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Author : Leslie F. Sikos
language : en
Publisher: Springer
Release Date : 2018-09-27
Ai In Cybersecurity written by Leslie F. Sikos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Technology & Engineering categories.
This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.
Strategic Blueprints For Ai Driven Marketing In The Digital Era
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Author : Dulloo, Rhytheema
language : en
Publisher: IGI Global
Release Date : 2025-04-30
Strategic Blueprints For Ai Driven Marketing In The Digital Era written by Dulloo, Rhytheema and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Business & Economics categories.
In the digital landscape, AI-driven marketing reshapes how brands engage with customers, optimize campaigns, and drive growth. Strategic blueprints for AI-driven marketing provide a framework for businesses to leverage advanced technologies like machine learning, natural language processing, and data analytics to enhance decision-making and deliver personalized, impactful experiences. As digital channels become crowded and consumer expectations rise, organizations must create comprehensive, data-backed strategies that incorporate cutting-edge AI tools and align with their goals and values. These strategic blueprints help businesses navigate the complexities of modern marketing and ensure long-term success in a digital world. Strategic Blueprints for AI-Driven Marketing in the Digital Era explores the integration of intelligent technology into business branding and marketing strategies. It examines digital communication channels for effective customer retention. This book covers topics such as chatbots, ethics and law, and brand identity, and is a useful resource for business owners, entrepreneurs, computer engineers, academicians, researchers, and data scientists.
Ai Driven Marketing Research And Data Analytics
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Author : Masengu, Reason
language : en
Publisher: IGI Global
Release Date : 2024-04-22
Ai Driven Marketing Research And Data Analytics written by Masengu, Reason and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Business & Economics categories.
The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.