02660nam 22005895 450 991098302870332120250626164633.03-031-65933-310.1007/978-3-031-65933-1(CKB)36338370400041(MiAaPQ)EBC31743904(Au-PeEL)EBL31743904(DE-He213)978-3-031-65933-1(EXLCZ)993633837040004120241004d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierMalware Detection on Smart Wearables Using Machine Learning Algorithms /by Fadele Ayotunde Alaba, Alvaro Rocha1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (144 pages)Studies in Systems, Decision and Control,2198-4190 ;5493-031-65932-5 1. Introduction -- 2.Security Challenges of Wearable Technology -- 3. Machine Learning Algorithms On Malware Detection Against Smart Wearable Devices -- 4.Implementation Results -- 5. Conclusions, Future Directions, and Recommendations.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.Studies in Systems, Decision and Control,2198-4190 ;549Human-machine systemsMachine learningComputational intelligenceHuman-Machine InterfacesMachine LearningComputational IntelligenceHuman-machine systems.Machine learning.Computational intelligence.Human-Machine Interfaces.Machine Learning.Computational Intelligence.621.398004.019Alaba Fadele Ayotunde1764945Rocha Álvaro1077024MiAaPQMiAaPQMiAaPQBOOK9910983028703321Malware Detection on Smart Wearables Using Machine Learning Algorithms4316962UNINA