Exploiting Machine Learning for Robust Security
Minakshi
From AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
AbeBooks Seller since 14 August 2006
New - Soft cover
Quantity: 2 available
Add to basketFrom AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
AbeBooks Seller since 14 August 2006
Quantity: 2 available
Add to basketAbout this Item
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. Seller Inventory # 9798369377598
Bibliographic Details
Title: Exploiting Machine Learning for Robust ...
Publisher: IGI Global Apr 2025
Publication Date: 2025
Binding: Taschenbuch
Condition: Neu
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