Results 1 to 10 of about 24 (22)

Android Kötücül Yazılım Tespit Sistemleri İncelemesi

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2017
Akıllı telefonların hayatımıza girmesiyle birlikte akıllı telefonları kullanan kullanıcı sayısı her geçen gün artarak devam etmektedir. Akıllı telefonların fazla talep görmesindeki neden, insanların bir cihazla istedikleri işleri tek dokunuşla kolaylıkla
Ömer KİRAZ, İbrahim Alper DOĞRU
doaj   +4 more sources

Android Malware Detection Systems Review

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2017
With the smartphones entering our lives, the number of smartphones continues to increase day by day. The reason why smartphones are in so demand is that people can easily do what they want.
Ömer Kiraz, İbrahim Alper Doğru
doaj  
Some of the next articles are maybe not open access.

A Survey of Android Malware Detection with Deep Neural Models

ACM Computing Surveys, 2021
Jun-Yang Qiu, Jun Zhang, Wei Luo
exaly  

Deep Learning for Android Malware Defenses: A Systematic Literature Review

ACM Computing Surveys, 2023
, Chakkrit Tantithamthavorn, Yepang Liu
exaly  

Android Source Code Vulnerability Detection: A Systematic Literature Review

ACM Computing Surveys, 2023
Janaka Senanayake   +2 more
exaly  

DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network

Future Generation Computer Systems, 2021
Syed Ibrahim Imtiaz   +2 more
exaly  

A survey of malware detection in Android apps: Recommendations and perspectives for future research

Computer Science Review, 2021
Raphaël Khoury   +2 more
exaly  

Android Security: A Survey of Issues, Malware Penetration, and Defenses

IEEE Communications Surveys and Tutorials, 2015
Vijay Laxmi, Mauro Conti
exaly  

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