Malware detection on smart wearables using machine learning algorithms
Material type:
TextSeries: Studies in Systems, Decision and Control (SSDC, volume 549)Publication details: Cham Springer 2025Description: xvii, 130 pISBN: - 9783031659324
- 005.8 ALA
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 005.8 ALA (Browse shelf(Opens below)) | 1 | Available | 009225 |
Table of contents:
Front Matter
Pages i-xvii
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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]
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)
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