Malware Detection on Smart Wearables Using Machine Learning Algorithms

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.

Malware Detection on Smart Wearables Using Machine Learning Algorithms features in the following genres: Electronics engineering, Machine learning, Human–computer interaction, Artificial intelligence

Malware Detection on Smart Wearables Using Machine Learning Algorithms is available in Hardback

Malware Detection on Smart Wearables Using Machine Learning Algorithms was written by Fadele Ayotunde Alaba, Alvaro Rocha and published by Springer an imprint of Springer Nature Switzerland

Malware Detection on Smart Wearables Using Machine Learning Algorithms has 130 pages

Yes it is part of Studies in Systems, Decision and Control series

£98.99