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

• Autore: Alaba Fadele Ayotunde
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (144 pages)
• Disciplina: 621.398; 004.019
• Soggetto topico: Human-machine systems; Machine learning; Computational intelligence; Human-Machine Interfaces; Machine Learning; Computational Intelligence
• Altri autori: RochaÁlvaro
• 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.
• Titolo autorizzato: Malware Detection on Smart Wearables Using Machine Learning Algorithms
• ISBN: 3-031-65933-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910983028703321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Systems, Decision and Control, . 2198-4190 ; ; 549