Results 71 to 80 of about 20,533 (244)
A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks
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
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
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
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
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
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
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
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
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
Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection [PDF]
Niall McLaughlin
openalex +1 more source

