1.

Record Nr.

UNINA9910983028703321

Autore

Alaba Fadele Ayotunde

Titolo

Malware Detection on Smart Wearables Using Machine Learning Algorithms / / by Fadele Ayotunde Alaba, Alvaro Rocha

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-65933-3

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (144 pages)

Collana

Studies in Systems, Decision and Control, , 2198-4190 ; ; 549

Altri autori (Persone)

RochaÁlvaro

Disciplina

621.398

004.019

Soggetti

Human-machine systems

Machine learning

Computational intelligence

Human-Machine Interfaces

Machine Learning

Computational Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.