Results 31 to 40 of about 980 (175)
From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang +5 more
wiley +1 more source
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 +11 more
wiley +1 more source
Approach to detecting SQL injection behaviors in network environment
SQL injection attack is one of the main threats that many Web applications faced with. The traditional detection method depended on the clients or servers.
Yu-fei ZHAO +3 more
doaj +2 more sources
Deep Learning-Based Detection Technology for SQL Injection Research and Implementation
Amid the incessant evolution of the Internet, an array of cybersecurity threats has surged at an unprecedented rate. A notable antagonist within this plethora of attacks is the SQL injection assault, a prevalent form of Internet attack that poses a ...
Hao Sun, Yuejin Du, Qi Li
doaj +1 more source
Analysis of SQL Injection Attack
SQL injection attacks are a serious security threat to Web applications. They allow attackers to obtain unrestricted access to the databases underlying the applications and to the potentially sensitive information these database contain. Various researchers and practitioners have proposed various methods to address the SQL injection problem. To address
Jayeeta Majumder, Gargi Saha
openaire +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
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 +4 more
wiley +1 more source
Proposed Method to Prevent SQL Injection Attack
the internet and its websites have huge using these days. These webs may have sensitive and secret information like military information, financial information and other important information that transfer through the networks.
Makera Aziz, Dena Ahmed
doaj +1 more source
Abstract Erythropoietin (EPO) administration stimulates haematological and non‐haematological adaptations that alter substrate oxidation and enhance aerobic performance. The effects of strenuous exercise and EPO on metabolites, and whether any effect is associated with haematological and non‐haematological adaptations, has not been assessed.
Devin J. Drummer +11 more
wiley +1 more source
Using Flask for SQLIA Detection and Protection
At present the web applications are used for most of the life activities, these applications are affected by an attack called (Structure Query Language Injection Attack) SQLIA due to the vulnerabilities of the web application.
Ann Z. Ablahd, Suhair A. Dawwod
doaj +3 more sources
SQL Injection Detection for Web Applications Based on Elastic-Pooling CNN
An enterprise's data can be one of its most important assets and often critical to the firm's development and survival. SQL injection attack is ranked first in the top ten risks to network applications by the Open Web Application Security Project (OWASP).
Xin Xie +4 more
doaj +1 more source

