Results 71 to 80 of about 2,904 (224)
Android Malware Detection Using Autoencoder
CoRR, 2019 9 Pages, 4 Figures, 3 ...
Abdelmonim Naway, Yuancheng Li
openaire +2 more sources
Contaminant removal for Android malware detection systems [PDF]
2017 IEEE International Conference on Big Data (Big Data), 2017 2017 IEEE International Conference on Big ...
Lichao Sun 0001 +5 more
openaire +2 more sources
Android malware detection as a Bi-level problem
Computers & Security, 2022 Malware detection is still a very challenging topic in the cybersecurity field. This is mainly due to the use of obfuscation techniques. To solve this issue, researchers proposed to extract frequent API (Application Programming Interface) call sequences and then use them as behavior indicators.
Jerbi, Manel +3 more
openaire +3 more sources
Leveraging Ethical Narratives to Enhance LLM‐AutoML Generated Machine Learning Models
Expert Systems, Volume 42, Issue 7, July 2025.ABSTRACT The growing popularity of generative AI and large language models (LLMs) has sparked innovation alongside debate, particularly around issues of plagiarism and intellectual property law. However, a less‐discussed concern is the quality of code generated by these models, which often contains errors and encourages poor programming practices. This
Jordan Nelson +4 more
wiley +1 more source
Comment on "AndrODet: An adaptive Android obfuscation detector"
, 2020 We have identified a methodological problem in the empirical evaluation of the string encryption detection capabilities of the AndrODet system described by Mirzaei et al. in the recent paper "AndrODet: An adaptive Android obfuscation detector".
Mohammadinodooshan, Alireza, +2 more
core
Towards explainable CNNs for android malware detection
, 2021 A challenge for implementing deep learning research in the real-world is the availability of techniques that explain predictions of a model, particularly in light of potential legal requirements to give an account of algorithmic outcomes for certain use ...
Millar, Stuart +3 more
core +1 more source
Journal of Arrhythmia, Volume 41, Issue 3, June 2025.Recently, some clinicians have been diagnosing and treating arrhythmias on the basis of electrocardiogram (ECG) devices with low accuracy. In Europe and the US, several statements on the use of ECGs have already been published by related academic societies.
Takanori Ikeda +22 more
wiley +1 more source
Explainable AI for Android Malware Detection
, 2023 Android malware detection based on machine learning (ML) is widely used by the mobile device security community. Machine learning models offer benefits in terms of detection accuracy and efficiency, but it is often difficult to understand how such models
Kulkarni, Maithili
core +1 more source
A static analysis approach for Android permission-based malware detection systems.
PLoS ONE, 2021 The evolution of malware is causing mobile devices to crash with increasing frequency. Therefore, adequate security evaluations that detect Android malware are crucial.
Juliza Mohamad Arif +5 more
doaj +1 more source
TMaD: Three‐tier malware detection using multi‐view feature for secure convergence ICT environments
Expert Systems, Volume 42, Issue 2, February 2025.Abstract As digital transformation accelerates, data generated in a convergence information and communication technology (ICT) environment must be secured. This data includes confidential information such as personal and financial information, so attackers spread malware in convergence ICT environments to steal this information.
Jueun Jeon +3 more
wiley +1 more source