TY  - BOOK
AU  - Alaba, Fadele Ayotunde
AU  - Rocha, Alvaro
TI  - Malware detection on smart wearables using machine learning algorithms
T2  - Studies in Systems, Decision and Control (SSDC, volume 549)
SN  - 9783031659324
U1  - 005.8 
PY  - 2025///
CY  - Cham
PB  - Springer
KW  - Malware detection
KW  - Cyberlaw
KW  - Security--Wearable Technology
N1  - Table of contents:
Front Matter
Pages i-xvii
Download chapter PDF 
Introduction
Fadele Ayotunde Alaba, Alvaro Rocha
Pages 1-31
Security Challenges of Wearable Technology
Fadele Ayotunde Alaba, Alvaro Rocha
Pages 33-66
Machine Learning Algorithms on Malware Detection Against Smart Wearable Devices
Fadele Ayotunde Alaba, Alvaro Rocha
Pages 67-94
Implementation Results
Fadele Ayotunde Alaba, Alvaro Rocha
Pages 95-119
Conclusions, Future Directions, and Recommendations
Fadele Ayotunde Alaba, Alvaro Rocha
Pages 121-126

[https://link.springer.com/book/10.1007/978-3-031-65933-1]
N2  - 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.

(https://link.springer.com/book/10.1007/978-3-031-65933-1)
ER  -