Results 51 to 60 of about 3,123 (222)

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, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis, Yannis Manolopoulos   +4 more
wiley   +1 more source

An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features

IEEE Access
With an increase in the number and complexity of malware, traditional malware detection methods such as heuristic-based and signature-based ones have become less adequate, leaving user applications vulnerable.
Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau   +4 more
doaj   +1 more source

Android Malware Detection Using Autoencoder

, 2019
9 Pages, 4 Figures, 3 ...
Naway, Abdelmonim, Li, Yuancheng
openaire   +2 more sources

Towards Explainable CNNs for Android Malware Detection

Procedia Computer Science, 2021
Abstract 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-cases.
Kinkead, Martin, Millar, Stuart, McLaughlin, Niall, O'Kane, Philip   +3 more
openaire   +3 more sources

2025 Japanese Heart Rhythm Society / Japanese Circulation Society Consensus Statement on the Appropriate Use of Ambulatory and Wearable Electrocardiographs

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, Takashi Ashihara, Yu‐ki Iwasaki, Maki Ono, Nobuyuki Kagiyama, Takehiro Kimura, Kengo Kusano, Ritsuko Kohno, Keita Saku, Tetsuo Sasano, Keitaro Senoo, Seiji Takatsuki, Naohiko Takahashi, Mitsuru Takami, Yukiko Nakano, Kenichi Hashimoto, Katsuhito Fujiu, Tadashi Fujino, Atsushi Mizuno, Koichiro Yoshioka, Eiichi Watanabe, Wataru Shimizu, Koichi Node   +22 more
wiley   +1 more source

Bioinspired artificial intelligence based android malware detection and classification for cybersecurity applications

Alexandria Engineering Journal
With the fast growth of mobile phone usage, malicious threats against Android mobile devices are enhanced. The Android system utilizes a wide range of sensitive apps like banking apps; thus, it develops the aim of malware that uses the vulnerability of ...
Shoayee Dlaim Alotaibi, Bayan Alabduallah, Yahia Said, Siwar Ben Haj Hassine, Abdulaziz A. Alzubaidi, Maha Alamri, Samah Al Zanin, Jihen Majdoubi   +7 more
doaj   +1 more source

An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks

IEEE Access, 2022
Recently, cybersecurity experts and researchers have given special attention to developing cost-effective deep learning (DL)-based algorithms for Android malware detection (AMD) systems.
Iman Almomani, Aala Alkhayer, Walid El-Shafai   +2 more
doaj   +1 more source

Android Malware Detection by Correlated Real Permission Couples Using FP Growth Algorithm and Neural Networks [PDF]

, 2023
Abhinandan Banik, Jyoti Prakash Singh
openalex   +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, Byeonghui Jeong, Seungyeon Baek, Young‐Sik Jeong   +3 more
wiley   +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, Mohd Faizal Ab Razak, Suryanti Awang, Sharfah Ratibah Tuan Mat, Nor Syahidatul Nadiah Ismail, Ahmad Firdaus   +5 more
doaj   +1 more source