Articoli correlati a Exploiting Machine Learning for Robust Security
- EditoreInformation Science Reference
- Data di pubblicazione2025
- ISBN 13 9798369377581
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine470
- RedattoreMinakshi, Bijalwan Anchit, Kumar Tarun
- Contatto del produttorenon disponibile
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Exploiting Machine Learning for Robust Security
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Exploiting Machine Learning for Robust Security (Hardcover)
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Hardcover. Condizione: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798369377581
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Exploiting Machine Learning for Robust Security (Hardcover)
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Hardcover. Condizione: new. Hardcover. In the digital world, ensuring robust security is critical as cyber threats become more sophisticated and pervasive. Machine learning can be used to strengthen cybersecurity and offer dynamic solutions that can identify, predict, and mitigate potential risks with unprecedented accuracy. By analyzing vast amounts of data, detecting patterns, and adapting to evolving threats, machine learning enables security systems to autonomously respond to anomalies and protect sensitive information in real-time. As technology advances, the integration of machine learning into security systems represents a critical step towards creating adaptive protection against the complex challenges of modern cybersecurity. Further research into the potential of machine learning in enhancing security protocols may highlight its ability to prevent cyberattacks, detect vulnerabilities, and ensure resilient defenses. Exploiting Machine Learning for Robust Security explores the world of machine learning, discussing the darknet of threat detection and vulnerability assessment, malware analysis, and predictive security analysis. Using case studies, it explores machine learning for threat detection and bolstered online defenses. This book covers topics such as anomaly detection, threat intelligence, and machine learning, and is a useful resource for engineers, security professionals, computer scientists, academicians, and researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798369377581
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Exploiting Machine Learning for Robust Security (Hardcover)
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Hardcover. Condizione: new. Hardcover. In the digital world, ensuring robust security is critical as cyber threats become more sophisticated and pervasive. Machine learning can be used to strengthen cybersecurity and offer dynamic solutions that can identify, predict, and mitigate potential risks with unprecedented accuracy. By analyzing vast amounts of data, detecting patterns, and adapting to evolving threats, machine learning enables security systems to autonomously respond to anomalies and protect sensitive information in real-time. As technology advances, the integration of machine learning into security systems represents a critical step towards creating adaptive protection against the complex challenges of modern cybersecurity. Further research into the potential of machine learning in enhancing security protocols may highlight its ability to prevent cyberattacks, detect vulnerabilities, and ensure resilient defenses. Exploiting Machine Learning for Robust Security explores the world of machine learning, discussing the darknet of threat detection and vulnerability assessment, malware analysis, and predictive security analysis. Using case studies, it explores machine learning for threat detection and bolstered online defenses. This book covers topics such as anomaly detection, threat intelligence, and machine learning, and is a useful resource for engineers, security professionals, computer scientists, academicians, and researchers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798369377581
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Exploiting Machine Learning for Robust Security
Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Neuware - In the digital world, ensuring robust security is critical as cyber threats become more sophisticated and pervasive. Machine learning can be used to strengthen cybersecurity and offer dynamic solutions that can identify, predict, and mitigate potential risks with unprecedented accuracy. By analyzing vast amounts of data, detecting patterns, and adapting to evolving threats, machine learning enables security systems to autonomously respond to anomalies and protect sensitive information in real-time. As technology advances, the integration of machine learning into security systems represents a critical step towards creating adaptive protection against the complex challenges of modern cybersecurity. Further research into the potential of machine learning in enhancing security protocols may highlight its ability to prevent cyberattacks, detect vulnerabilities, and ensure resilient defenses. Exploiting Machine Learning for Robust Security explores the world of machine learning, discussing the darknet of threat detection and vulnerability assessment, malware analysis, and predictive security analysis. Using case studies, it explores machine learning for threat detection and bolstered online defenses. This book covers topics such as anomaly detection, threat intelligence, and machine learning, and is a useful resource for engineers, security professionals, computer scientists, academicians, and researchers. Codice articolo 9798369377581
Quantità: 2 disponibili