Results 181 to 190 of about 20,533 (244)

Adversarial Samples on Android Malware Detection Systems for IoT Systems. [PDF]

Sensors (Basel), 2019
Liu X, Du X, Zhang X, Zhu Q, Wang H, Guizani M.   +5 more
europepmc   +1 more source

Malware Detection Using Machine Learning Algorithms and Reverse Engineering of Android Java Code

, 2019
Micha Kedziora, Paulina Gawin, Michał Szczepanik, Ireneusz J. Jóźwiak   +3 more
openalex   +1 more source

Detecting and classifying method based on similarity matching of Android malware behavior with profile. [PDF]

Springerplus, 2016
Jang JW, Yun J, Mohaisen A, Woo J, Kim HK.   +4 more
europepmc   +1 more source

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020

Diego Ferreira Duarte, André Augusto Bortoli   +1 more
openalex   +1 more source

Comparing Conformer, Genetic Artificial Intelligence Conformer, and Active Learning Conformer Approaches for Encrypted Android Malware Traffic Detection

Md. Shakib
openalex   +1 more source

Advance Android PHAs/Malware Detection Techniques by Utilizing Signature Data, Behavioral Patterns and Machine Learning

, 2016
Suyash Jadhav
openalex   +1 more source

Reverse Engineering for Static Analysis of Android Malware in Instant Messaging Apps

I Gede Adnyana Adnyana, Putu Gede Surya Cipta Nugraha, Bagus Rahmat Adin Nugroho   +2 more
openalex   +2 more sources

Enhancing Android Malware Detection with XGBoost and Convolutional Neural Networks

Atif Raza Zaidi, Tahir Abbas, Ali Daud, Omar Alghushairy, Hussain Dawood, Nadeem Sarwar   +5 more
openalex   +1 more source

Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]

Sci Rep
Saeed NH, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]

Sci Rep
Anuradha A, Chouhan AS, Srinivas Rao S.
europepmc   +1 more source