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Malware detection on smart wearables using machine learning algorithms

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Malware detection on smart wearables using machine learning algorithms/ by Fadele Ayotunde Alaba, Alvaro Rocha.
Author:	Alaba, Fadele Ayotunde.
other author:	Rocha, Alvaro.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xvii, 130 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Wearable technology - Security measures. -
Online resource:	https://doi.org/10.1007/978-3-031-65933-1
ISBN:	9783031659331

Malware detection on smart wearables using machine learning algorithms
Alaba, Fadele Ayotunde.

Malware detection on smart wearables using machine learning algorithms[electronic resource] /by Fadele Ayotunde Alaba, Alvaro Rocha. - Cham :Springer Nature Switzerland :2025. - xvii, 130 p. :ill. (chiefly color), digital ;24 cm. - Studies in systems, decision and control,v. 5492198-4190 ;. - Studies in systems, decision and control ;v. 2. .

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.

ISBN: 9783031659331

Standard No.: 10.1007/978-3-031-65933-1doiSubjects--Topical Terms:

1091184
Wearable technology
--Security measures.

LC Class. No.: TK7882.W437

Dewey Class. No.: 005.88

Malware detection on smart wearables using machine learning algorithms
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505 0 $a 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.
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