Results 71 to 80 of about 20,533 (244)

A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks

open access: yesInformation, 2023
Android platform security is an active area of research where malware detection techniques continuously evolve to identify novel malware and improve the timely and accurate detection of existing malware.
Parvez Faruki   +5 more
doaj   +1 more source

A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization

open access: yes, 2017
Existing Android malware detection approaches use a variety of features such as security sensitive APIs, system calls, control-flow structures and information flows in conjunction with Machine Learning classifiers to achieve accurate detection.
Chandramohan, Mahinthan   +3 more
core   +1 more source

Robust AI‐SCORE Framework: Independent and Adversarial Validation for Malware Detection

open access: yesJournal of Engineering, Volume 2026, Issue 1, 2026.
Traditional malware detection methods such as signature‐based approaches and statistical analysis are becoming less effective in detecting the new breed of malware, which is holding high levels of complexity in terms of the number of code versions, compilation patterns, time to live (TTL), and jumping through evasion techniques.
Hafiz Talha Arif Zuberi   +7 more
wiley   +1 more source

Securing End‐To‐End Encrypted File Sharing Services With the Messaging Layer Security Protocol

open access: yesConcurrency and Computation: Practice and Experience, Volume 37, Issue 27-28, 25 December 2025.
ABSTRACT Secure file sharing is essential in today's digital environment, yet many systems remain vulnerable: if an attacker steals client keys, they can often decrypt both past and future content. To address this challenge, we propose a novel file‐sharing architecture that strengthens post‐compromise security while remaining practical.
Roland Helmich, Lars Braubach
wiley   +1 more source

Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies

open access: yesJournal of Information Security and Cybercrimes Research, 2021
The open-source and popularity of Android attracts hackers and has multiplied security concerns targeting devices. As such, malware attacks on Android are one of the security challenges facing society.
Ashawa Moses, Sarah Morris
doaj   +1 more source

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

open access: yesAdvanced Intelligent Discovery, Volume 1, Issue 2, August 2025.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Leveraging Ethical Narratives to Enhance LLM‐AutoML Generated Machine Learning Models

open access: yesExpert 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

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

open access: yesJournal 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

Review of Android Malware Detection Based on Deep Learning

open access: yesIEEE Access, 2020
At present, smartphones running the Android operating system have occupied the leading market share. However, due to the Android operating system's open-source nature, Android malware has increased dramatically.
Zhiqiang Wang, Qian Liu, Yaping Chi
doaj   +1 more source

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