Results 111 to 120 of about 2,901,102 (167)

Large scale android malware detection

, 2018
Smartphones’ popularity and use has been increasing exponentially over the years. This also opens up the chance of damage to be done by malicious software or malware for short.
Kasim, Arief Kresnadi Ignatius
core  

Android Malware Detection Using Support Vector Regression for Dynamic Feature Analysis

Information
Mobile devices face significant security challenges due to the increasing proliferation of Android malware. This study introduces an innovative approach to Android malware detection, combining Support Vector Regression (SVR) and dynamic feature analysis ...
Nahier Aldhafferi
doaj   +1 more source

MMF: A Lightweight Approach of Multimodel Fusion for Malware Detection

IET Software
Nowadays, the Android system is widely used in mobile devices. The existence of malware in the Android system has posed serious security risks. Therefore, detecting malware has become a main research focus for Android devices.
Bo Yang, Mengbo Li, Li Li, Huai Liu
doaj   +1 more source

Optimization of Android Malware Detection Based on Permissions Using LightGBM with Hyperparameter Tuning and Chi-Square Feature Selection

Journal of Information and Technology
This study aims to develop an efficient Android malware detection framework using the LightGBM algorithm optimized through Chi-Square feature selection and hyperparameter tuning.
Dede Wintana, Satia Suhada, Gunawan
doaj   +1 more source

Android Malware Detection via Graphlet Sampling

, 2018
Android systems are widely used in mobile & wireless distributed systems. In the near future, Android is believed to dominate the mobile distributed environment.
Sisodia, Devkishen, Li, Feng, Gao, Tianchong, Saha, Tanay Kumar, Al Hasan, Mohammad, Peng, Wei   +5 more
core   +1 more source

A Resilient Deep Learning Framework for Mobile Malware Detection: From Architecture to Deployment

Future Internet
Mobile devices are frequent targets of malware due to the large volume of sensitive personal, financial, and corporate data they process. Traditional static, dynamic, and hybrid analysis methods are increasingly insufficient against evolving threats ...
Aysha Alfaw, Mohsen Rouached, Aymen Akremi   +2 more
doaj   +1 more source

Malware en Android y medidas de prevención

, 2023
Tesis previo a la obtención del título de Ingeniero de Sistemas y Computaciónxix RESUMEN Se realiza un estudio acerca de los malware en la plataforma Android, dicho tema ha llevado a los desarrolladores de software de la empresa Google a reflexionar ...
Vivas Pincay, Carlos Francisco
core  

Malware Detection Techniques in Android

, 2015
Mobile Phones have become an important need of today. The term mobile phone and smart phone are almost identical now-a-days. Smartphone market is booming with very high speed.
Amit Jain, Pallavi Kaushik
core  

Chat-GPT for Android malware detection

The use of large-language models (LLMs) in the field of cybersecurity has been increasing greatly in recent years. With the advent of ChatGPT by OpenAI, there have been many different use cases for LLMs in cybersecurity, including in intrusion detection,
Ong, Eliezer De Zhi
core  

Malware Detection in Android Platforms

, 2015
As one of the major operating systems adopted by mobile devices, security issues related to Android platform is gaining increasing attention in the research literature in recent years.
Liu, Peixiang, Li, Wei, Zhang, Yi
core   +1 more source