Results 71 to 80 of about 16,685 (199)

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

Advanced 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

AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems

Scientific Reports, 2022
Due to the widespread usage of Android smartphones in the present era, Android malware has become a grave security concern. The research community relies on publicly available datasets to keep pace with evolving malware.
Husnain Rafiq, Nauman Aslam, Muhammad Aleem, Biju Issac, Rizwan Hamid Randhawa   +4 more
doaj   +1 more source

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

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

Information, 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, Rati Bhan, Vinesh Jain, Sajal Bhatia, Nour El Madhoun, Rajendra Pamula   +5 more
doaj   +1 more source

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

A-Pot: A Comprehensive Android Analysis Platform Based on Container Technology

IEEE Access, 2020
Recently, intelligent Android malware avoids being analyzed using anti-emulator, anti-debugging, and rooting detection. Existing emulators have problems to be easily detected by malware that check with hardware or sensor information.
Jungsoo Park, Ngoc-Tu Chau, Long Nguyen-Vu, Jaehyeon Yoon, Souhwan Jung   +4 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, Byeonghui Jeong, Seungyeon Baek, Young‐Sik Jeong   +3 more
wiley   +1 more source

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

Journal 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

Smart Homes of the Future

Transactions on Emerging Telecommunications Technologies, Volume 36, Issue 1, January 2025.
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, Olutosin Taiwo, Ojonukpe S. Egwuche, Laith Abualigah, Annette Van Der Merwe, Jayanta Pal, Apu K. Saha, Ahmed Ibrahim Alzahrani, Fahad Alblehai, Japie Greeff, Micheal O. Olusanya   +10 more
wiley   +1 more source

Advanced hybrid malware identification framework for the Internet of Medical Things, driven by deep learning

SECURITY AND PRIVACY, Volume 8, Issue 1, January/February 2025.
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, Sidra Tahir, Asif Nawaz, Mamoona Humayun, Momina Shaheen, Maqbool Khan   +5 more
wiley   +1 more source