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Malware detection on smart wearables using machine learning algorithms

Record Type:	Electronic resources : 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.
[NT 15003449]:	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.
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. 549..

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:

3231528
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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300 $a xvii, 130 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 549
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.
520 $a 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.
650 0 $a Wearable technology $x Security measures. $3 3231528
650 0 $a Malware (Computer software) $3 1458432
650 0 $a Machine learning $3 744343
650 1 4 $a Human-Machine Interfaces. $3 3595721
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Rocha, Alvaro. $3 2059402
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830 0 $a Studies in systems, decision and control ; $v v. 549. $3 3780509
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