Malware Detection on Smart Wearables Using Machine Learning Algorithms
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Beschreibung
This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization's brand.
This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization's brand.
Includes machine learning algorithms to Malware on smart wearers Provides insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases Covers current trends and issues in cybersecurity and gives forward-looking views into the future of big data security
Autor*in
Fadele Ayotunde Alaba
Themen in »Malware Detection on Smart Wearables Using Machine Learning Algorithms«
Big Data Security Cyberattacks Cybersecurity Data Breaches' Data Protection Encryption Mitigation Strategies Risk Mitigation Threat Detection