000			01915nam a2200241 4500
005			20251029175009.0
008			251029b |||||||| |||| 00| 0 eng d
020			_a9783031659324
082			_a005.8 _bALA
100			_aAlaba, Fadele Ayotunde _925935
245			_aMalware detection on smart wearables using machine learning algorithms
260			_aCham _bSpringer _c2025
300			_axvii, 130 p.
365			_aEURO _b129.99
490			_aStudies in Systems, Decision and Control (SSDC, volume 549)
500			_aTable of contents: Front Matter Pages i-xvii Download chapter PDF 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]
520			_aThis 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)
650			_aMalware detection _925936
650			_aCyberlaw _925937
650			_aSecurity--Wearable Technology _925938
700			_aRocha, Alvaro _925939
942			_cBK _2ddc
999			_c10477 _d10477