High Accuracy Detection of Mobile Malware Using Machine Learning

• Tác giả: Suleiman Yerima
• Ngôn ngữ: eng
• ISBN-13: 978-3036571744
• ISBN-13: 978-3036571751
• ISBN: books978-3-0365-7174-4
• Thông tin xuất bản: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Mô tả vật lý: 1 electronic resource (226 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 377026
• Chủ đề: 1. applied machine learning; 2. malware analysis and detection; 3. mobile security; 4. neural network; 5. Information technology industries

Tóm tắt

 As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning
  a state-of-the-art comparative evaluation of deep learning approaches for mobile botnet detection
  a novel visualization-based approach that utilizes images for Android botnet detection
  a study on the detection of drive-by exploits in images using deep learning
  etc. Furthermore, this reprint presents state-of-the-art reviews about machine learning-based detection techniques that will increase researchers' knowledge in the field and enable them to identify future research and development directions.