Ai Driven Social Media Analytics And Cybersecurity
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AI-Driven: Social Media Analytics and Cybersecurity
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
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.