A deep Learning Approach to Malware detection in android platform
Throughout the year mobile devices such as tablets, smartphones and computers are extremely widespread because of the development of modern technology. By using these devices, users all over the globe can easily accessed a huge range of applications from both commercial and private use. Malware de...
保存先:
第一著者: | Corrine, Francis |
---|---|
フォーマット: | Final Year Project Report |
言語: | English English |
出版事項: |
Universiti Malaysia Sarawak (UNIMAS)
2018
|
主題: | |
オンライン・アクセス: | http://ir.unimas.my/id/eprint/29064/1/A%20deep%20Learning%20Approach%20to%20Malware%20detection%20in%20android%20platform%20%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/29064/2/A%20deep%20Learning%20Approach..ft.pdf http://ir.unimas.my/id/eprint/29064/ |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
A Deep Learning Approach to Malware Detection in Android Platform
著者:: Abdulrazak Yahya, Saleh, 等
出版事項: (2019) -
Machine learning approaches for malware classification in android platform: a review
著者:: Howida Alkaaf, 等
出版事項: (2025) -
Machine Learning Malware Detection For Android
著者:: Amir Muhammad Hafiz, Othman
出版事項: (2022) -
Dynamic android malware category classification using semi-supervised deep learning
著者:: Mahdavifar, Samaneh, 等
出版事項: (2020) -
Malware Detection In Android Using Machine Learning
著者:: Muhammad Hazriq Akmal, Zairol
出版事項: (2023)