Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

<p dir="ltr">Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting vulnerabilities from devices as well as stealing personal information, are the principal targe...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Faria Nawshin (21841598) (author)
مؤلفون آخرون:	Radwa Gad (21841601) (author), Devrim Unal (16864224) (author), Abdulla Khalid Al-Ali (17983786) (author), Ponnuthurai N. Suganthan (17347024) (author)
منشور في:	2024
الموضوعات:	Information and computing sciences Cybersecurity and privacy Data management and data science Machine learning Mobile malware analysis Privacy-preserving machine-learning Secure machine-learning Mobile security attacks Federated learning Mobile vulnerabilities
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

مواد مشابهة