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Malware Detection on Smart Wearables Using Machine Learning Algorithms de Fadele Ayotunde Alaba

Malware Detection on Smart Wearables Using Machine Learning Algorithms: Studies in Systems, Decision and Control

Autor Fadele Ayotunde Alaba, Alvaro Rocha
en Limba Engleză Hardback – 4 oct 2024
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.
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Specificații

ISBN-13: 9783031659324
ISBN-10: 3031659325
Pagini: 148
Ilustrații: Approx. 150 p.
Dimensiuni: 160 x 241 x 14 mm
Greutate: 0.4 kg
Ediția:2024
Editura: Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

Fadele Ayotunde Alaba works with the Department of Computer Science, Federal College of Education, Zaria. He is researching with several global awards in the IoT and security domain. He received a Bachelor of Computer Science (First Class Honours) from Nasarawa State University, Keffi, Nasarawa State, Nigeria, in 2008. He then received a Post Graduate Diploma in Education (PGDE) from Usman Danfodio University, Sokoto State, Nigeria, in 2012. He received a Master of Computer Science from Ahmadu Bello University, Zaria, Kaduna State, Nigeria, in 2014. Finally, he received a Ph.D. in Computer Science from the University of Malaya, Malaysia (QS WUR-65). He is an active reviewer of several top journals including Future Generation Computer Systems (FGCS), Information Systems, Journal of Network and Computer Applications (JNCA), IEEE Wireless Communications, and International Journal of Environmental Science and Technology.
Álvaro Rocha is World's Top 1% Scientist by Stanford University (USA) and Elsevier and World’s Top 1% Scientist by Research Gate for the domains of Information Science and Information Systems. He is a professor at ISEG, University of Lisbon, invited professor at the University of Calabria, honorary professor at Amity University, chair of ITMA—Information and Technology Management Association, founder and vice-chair of IEEE SMC Portugal Chapter, and book series scientific manager at Springer-Nature. He holds the title of Honorary Professor and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science. He is an integrated researcher at the ADVANCE (the ISEG Centre for Advanced Research in Management), and a collaborator researcher at CINTESIS (Center for Research in Health Technologies and Information Systems).

Textul de pe ultima copertă

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.

Caracteristici

Includes machine learning algorithms to Malware on smart wearers Provides insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases Covers current trends and issues in cybersecurity and gives forward-looking views into the future of big data security