Results 31 to 40 of about 333 (124)

A novel technique to prevent SQL injection and cross-site scripting attacks using Knuth-Morris-Pratt string match algorithm

EURASIP Journal on Information Security, 2020
Structured Query Language (SQL) injection and cross-site scripting remain a major threat to data-driven web applications. Instances where hackers obtain unrestricted access to back-end database of web applications so as to steal, edit, and destroy ...
Oluwakemi Christiana Abikoye, Abdullahi Abubakar, Ahmed Haruna Dokoro, Oluwatobi Noah Akande, Aderonke Anthonia Kayode   +4 more
doaj   +1 more source

Real‐World Patterns of Botulinum Toxin Treatment in Hyperkinetic Movement Disorders: A 9‐Year Nationwide Analysis in France

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Hyperkinetic movement disorders, including dystonia, tremor, and myoclonus, are disabling conditions often managed with botulinum toxin type A (BoNT‐A). Real‐world evidence on treatment patterns remains limited. Objective This nationwide, population‐based study aimed to evaluate trends in BoNT‐A use in France between 2015 and 2023 ...
Marion Simonetta‐Moreau, Pierre Karam, Anne Forestier, Bertrand Degos   +3 more
wiley   +1 more source

SIDNet: A SQL Injection Detection Network for Enhancing Cybersecurity

IEEE Access
SQL (Structured Query Language) injection is one of the most prevalent and dangerous forms of cyber-attacks, posing significant threats to database management systems and the overall security of web applications.
Debendra Muduli, Shantanu Shookdeb, Abu Taha Zamani, Surabhi Saxena, Anuradha Shantanu Kanade, Nikhat Parveen, Mohammad Shameem   +6 more
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Real‐World Effectiveness and 12‐Month Persistence of a Semaglutide‐Supported Digital Weight‐Loss Service: A Retrospective Cohort Study in Germany

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aim To evaluate the 12‐month effectiveness and patient persistence of a semaglutide‐supported digital weight‐loss service (DWLS) in a real‐world German cohort. Methods This retrospective study analysed 4535 patients who initiated the Juniper Germany DWLS. Primary endpoints included 12‐month medication and data submission adherence (receiving ≥ 
Louis Talay, Jason Hom, Marilyn Tan, Neera Ahuja   +3 more
wiley   +1 more source

The MacBrain Resource Center (MBRC) rhesus macaque postnatal brain histology datasets: Enabling new discoveries through NHP tissue and digital data Repositories

Journal of Anatomy, EarlyView.
The MacBrain Resource Center (MBRC) postnatal rhesus macaque brain histology datasets are organized into Collections that promote cost‐effective de novo research. This article provides examples from Collections 5, 6, and 7 and describes the histo‐ and immunohistochemical (IHC) processing of materials for Collection 6.
Valeria Mendoza‐Silva, Lucy Greene, Emma Burke, Cristina Canales, Julia Chocarro, Jose L. Lanciego, Khuleshwari Kurrey, Phil Barello, Aya Nusir, Nadine Kabbani, Kathleen S. Rockland, Dibyadeep Datta, Jon I. Arellano, Amy F. T. Arnsten, Yury M. Morozov, Bashir Ahmed, Zoltán Molnár, Caroline J. Zeiss, Pasko Rakic, Alvaro Duque   +19 more
wiley   +1 more source

Provably throttling SQLI using an enciphering query and secure matching

Egyptian Informatics Journal, 2022
Web applications, which dominate the internet, act as communication media between customers and service providers. Web applications are an internet innovation that provide customer services such as e-banking, e-commerce and e-booking.
Mohammed Abdulridha Hussain, Zaid Alaa Hussien, Zaid Ameen Abduljabbar, Junchao Ma, Mustafa A. Al Sibahee, Sarah Abdulridha Hussain, Vincent Omollo Nyangaresi, Xianlong Jiao   +7 more
doaj   +1 more source

Semaglutide 2.4 mg Cardiometabolic Long‐Term Effects in Patients With Obesity or Overweight in a Real‐World Setting: A Retrospective Cohort Study in the United States (SMILE)

Diabetes, Obesity and Metabolism, Volume 28, Issue 7, Page 6121-6130, July 2026.
ABSTRACT Aims To evaluate the real‐world associations between semaglutide 2.4 mg and cardiometabolic comorbidities, biomarkers and cardiovascular risk among adults with overweight or obesity. Methods This retrospective cohort study used US claims data and laboratory measurements from the Komodo Research Database (2016–2024). Adults with obesity or with
Aleksandrina Ruseva, Wojciech Michalak, Matthew Bassan, Ella Xiaoyan Du, Anthony Fabricatore, Bríain Ó Hartaigh, Theo Man, Ramya Ramasubramanian, Pangsibo Shen, Jinlin Song, Zhenxiang Zhao, Francisco Lopez‐Jimenez   +11 more
wiley   +1 more source

BacSafe: A Comprehensive Database for Integrated Assessment of Bacterial Biosafety

iMetaMed, Volume 2, Issue 2, June 2026.
The substantial threats that bacterial contamination poses to healthcare and industrial production requires a comprehensive assessment of biosafety risks for each bacterial species. Here, we introduce BacSafe, a novel database that integrates diverse domains of biosafety knowledge and evaluates bacterial risk across both clinical and environmental ...
Ye Feng, Chengzhi Liu, Qian Liang, Lupeng Ma, Weilian Chen, Fanyuan Gu, Biao Tang, Zhijian Wang, Guoping Zhao, Huan Chen   +9 more
wiley   +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source