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Advancing cyber threat detection through quantum and edge computing /
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Sibalija, Tatjana, editor. Hulus, Asegul, 1995-, editor. C., Kishor Kumar Reddy, editor. Joseph, Shenson, 1984-, editor. |
| 단체저자명 | IGI Global Scientific Publishing,publisher. |
| 서명/저자사항 | Advancing cyber threat detection through quantum and edge computing /Shenson Joseph, Kishor Kumar Reddy C., Asegul Hulus, Tatjana Sibalija, editors. |
| 발행사항 | Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global Scientific Publishing, 2026. |
| 형태사항 | 1 online resource (16 PDFs (376 pages)). |
| 총서사항 | e-Book Collection |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 9798337335537 |
| 기타표준부호 | 10.4018/979-8-3373-3551-3doi |
| 서지주기 | Includes bibliographic references and index. |
| 내용주기 | Preface -- Chapter 1. A Comprehensive Introduction to Cyber Threat Detection Through Quantum Computing and Comparative Study of Classical and Quantum-Enhanced Convolutional Neural Networks -- Chapter 2. Quantum AI for Cybersecurity and Threat Intelligence -- Chapter 3. Quantum-Enhanced Edge Computing for Robust Cyber Threat Detection -- Chapter 4. Guardians of the Grid: Navigating Ethical Dilemmas and Regulatory Frameworks in Cyber Threat Detection -- Chapter 5. Secure Healthcare Data Sharing Using Federated Learning, Blockchain, and Quantum Cryptography -- Chapter 6. Synergizing Edge AI and Quantum Machine Learning for Real-Time Cyber Threat Mitigation -- Chapter 7. Quantum-Enhanced Machine Learning for Next-Gen Cyber Defense -- Chapter 8. Anomaly Detection Using Quantum Neural Networks: A Quantum-Driven Approach to Cyber Threat Identification -- Chapter 9. Ethical Challenges and Regulatory Considerations in Quantum AI-Powered Cyber Threat Detection -- Chapter 10. QINN-Based Approach to Detect Anomalies in High-Dimensional Secure Data -- Compilation of References -- About the Contributors -- Index. |
| 요약 | "As cyber threats grow in scale, sophistication, and frequency, traditional detection methods struggle to keep pace. To address this landscape, researchers and organizations turn to emerging technologies like quantum computing and edge computing. Quantum computing offers increased processing power, capable of analyzing complex data patterns and encryptions. Meanwhile, edge computing enables real-time threat detection and increases response times. By combining these two technologies, it creates smarter, faster, and more adaptive cybersecurity systems. Further exploration into how the convergence of quantum and edge computing can revolutionize cyber threat detection may pave the way for more resilient defense mechanisms in the digital age. Advancing Cyber Threat Detection Through Quantum and Edge Computing explores how quantum computing and artificial intelligence (AI) reshape the landscape of real-time anomaly detection, predictive analytics, and next-gen cybersecurity. It examines how quantum-enhanced AI models can detect patterns, adapt to emerging threats, and revolutionize security frameworks across industries, from finance and healthcare to national security and cloud infrastructure. This book covers topics such as blockchain, threat intelligence, and neural networks, and is a useful resource for computer engineers, security professionals, academicians, researchers, and data scientists."-- |
| 일반주제명 | Computer security -- Technological innovations. Information technology -- Security measures. Artificial intelligence -- Security measures. Edge computing. Quantum computing. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:9798337335513 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=4293916 |
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