Results 71 to 80 of about 4,196 (220)
Android Malware Analysis [PDF]
The popularity of mobile devices leads to potential threats from hackers and intrusive techniques. Android platform is the most used operating system on mobile phones in the market share.
Trieu, Tho
core
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
Comment on "AndrODet: An adaptive Android obfuscation detector"
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
REVISITING AND BOOSTING STATE-OF-THE-ART ML-BASED ANDROID MALWARE DETECTORS
Android offers plenty of services to mobile users and has gained significant popularity worldwide. The success of Android has resulted in attracting more mobile users but also malware authors.
DAOUDI, Nadia
core
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
TMaD: Three‐tier malware detection using multi‐view feature for secure convergence ICT environments
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
The advent of the Internet of Things (IoT) has revolutionized the concept of smart homes, allowing users to remotely interact with their houses. This technological development has significantly improved convenience, safety, and overall lifestyles for homeowners.
Absalom E. Ezugwu +10 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
Abstract The Internet of Things (IoT) effortlessly enables communication between items on the World Wide Web and other systems. This extensive use of IoTs has created new services and automation in numerous industries, enhancing the standard of living, especially in healthcare.
Ehtesham Safeer +5 more
wiley +1 more source

