Results 31 to 40 of about 1,022 (177)
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
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
Cloud Based Secure Web Application [PDF]
The types of web attack continue to appear and add their impacts on web application security, SQL injection, and XSS is one type of these attack, that causes extremely high risk for web application through stolen critical information or broken web ...
Saad K. Majeed +2 more
doaj +1 more source
Deep-Learning Based Injection Attacks Detection Method for HTTP
In the context of the new era of high digitization and informatization, the emergence of the internet and artificial intelligence technologies has profoundly changed people’s lifestyles. The traditional cyber attack detection has become increasingly weak
Chunhui Zhao +4 more
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
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
Identification and Authentication Failures: Foundational Aspects of Strong Detection Mechanisms
A review of recent techniques for detecting Identification and Authentication Failures in online platforms storing sensitive user data. Analyzed methods include biometric, hierarchical, blockchain, IoT‐based, EPICS, and VAP authentication systems. ABSTRACT Online platforms, such as e‐commerce and online apps, have become crucial in daily activities ...
Md. Maruf Hassan +2 more
wiley +1 more source
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
Obfuscation-based analysis of SQL injection attacks [PDF]
In this paper, we propose an obfuscation/ deobfuscation based technique to detect the presence of possible SQL Injection Attacks (SQLIA) in a query before submitting it to a DBMS. This technique combines static and dynamic analysis. In the static phase, the queries in the application are replaced by queries in obfuscated form.
Raju Halder, Agostino Cortesi
openaire +2 more sources
ABSTRACT As software applications get increasingly connected and complex, cybersecurity becomes more and more important to consider during development and evaluation. Software engineers need to be aware of various security threats and the countermeasures that can be taken to mitigate them.
Raffaela Groner +5 more
wiley +1 more source

