Results 81 to 90 of about 3,123 (222)

CLASSIFYING ANDROID MALWARE CATEGORIES BASED ON DYNAMIC FEATURES: AN INTEGRATION OF FEATURE REDUCTION AND SELECTION TECHNIQUES

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Android malware has grown steadily into a major internet threat. Despite efforts to identify and categorize malware in seemingly safe Android apps, addressing this issue is still lacking.
abdullah alsraratee, Ahmed Al-Azawei
doaj   +1 more source

Android malware detection using random forest algorithm

Proceedings of the Nigerian Society of Physical Sciences
The proliferation of mobile devices and their dependence on the android OS has made them prime targets for cybercriminals, leading to an escalating threat of malware.
Samson Isaac, Abdullahi Tanimu, Mohammed Shamsuddeen Tukur , Jacob Isaac, Amina Bala Ja'afaru   +4 more
doaj   +1 more source

An Improved Malicious Application Detection in Social Networks (MADSN)

مجلة جامعة الزيتونة, 2021
Android is the most widely used mobile operating system (OS). A large number of third-party Android application (app) markets have emerged. The absence of third-party market regulation has prompted research institutions to propose different malware ...
Nagmden Nasser, Adel Abosdel
doaj  

Intelligent Pattern Recognition Using Equilibrium Optimizer With Deep Learning Model for Android Malware Detection

IEEE Access
Android malware recognition is the procedure of mitigating and identifying malicious software (malware) planned to target Android operating systems (OS) that are extremely utilized in smartphones and tablets.
Mohammed Maray, Mashael Maashi, Haya Mesfer Alshahrani, Sumayh S. Aljameel, Sitelbanat Abdelbagi, Ahmed S. Salama   +5 more
doaj   +1 more source

A Lightweight malware detection technique based on hybrid fuzzy simulated annealing clustering in Android apps

Egyptian Informatics Journal
The growing complexity of cyber threats has shifted the focus from merely identifying threats to detecting their origins, resulting in stronger defenses against malware.
Collins Chimeleze, Norziana Jamil, Nazik Alturki, Zuhaira Muhammad Zain   +3 more
doaj   +1 more source

A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms

IEEE Access, 2019
Android malware severely threaten system and user security in terms of privilege escalation, remote control, tariff theft, and privacy leakage. Therefore, it is of great importance and necessity to detect Android malware.
Zhuo Ma, Haoran Ge, Yang Liu, Meng Zhao, Jianfeng Ma   +4 more
doaj   +1 more source

Android Malware Detection Systems Review

Düzce 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. According to IDC's 2016 Q2 report, Android dominated the smartphone market with an 87.6% share [1].
Ömer Kiraz, İbrahim Alper Doğru
openaire   +1 more source

Security Hardened and Privacy Preserved Android Malware Detection Using Fuzzy Hash of Reverse Engineered Source Code [PDF]

, 2022
Hasnat Ali, Komal Batool, Muhammad Yousaf, Muhammad Islam Satti, Salman Naseer, Saleem Zahid, Akber Abid Gardezi, Muhammad Shafiq, Jin‐Ghoo Choi   +8 more
openalex   +1 more source

Comprehensive Analysis of Android Malware detection through Semi-supervised Autoencoder models [PDF]

, 2023
Neda Firoz, Abdullah Bin Firoz, Mohammad Sadman Tahsin   +2 more
openalex   +1 more source

Android malware detection with unbiased confidence guarantees

Neurocomputing, 2018
The impressive growth of smartphone devices in combination with the rising ubiquity of using mobile platforms for sensitive applications such as Internet banking, have triggered a rapid increase in mobile malware. In recent literature, many studies examine Machine Learning techniques, as the most promising approach for mobile malware detection, without
Papadopoulos, Harris, Georgiou, Nestoras, Eliades, Charalambos, Konstantinidis, Andreas   +3 more
openaire   +2 more sources