Results 61 to 70 of about 1,944 (174)

Deployment-Oriented Multi-Embedding Machine Learning Framework for SQL Injection Detection and Prevention in a Web Application Firewall

Computers
Structured Query Language injection (SQLi) remains a persistent threat to web applications due to the obfuscation, diversity, and evolving structure of malicious payloads, which limit the effectiveness of conventional rule and signature-based Web ...
Sahar Saadallah Ahmed, Mohand Lokman Al dabag   +1 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, Volume 13, Issue 35, 24 June 2026.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Using the Reinforcement Learning Agent to Test the Correctness of Rule Configuration in Web Application Firewalls

IEEE Access
Data protection is one of the most essential elements of cyber security strategies and processes. One of the components that support this process are firewalls, particularly web application firewalls (WAFs).
Mariusz Sepczuk, Krzysztof Sosnowski
doaj   +1 more source

Advance Web Application Firewall- Cybersecurity

Web Application Firewalls (WAFs) are security products responsible for protecting web applications with minimal cost and effort; by filtering, monitoring, and blocking HTTP traffic. Traditional WAFs work with a rule-based approach, applying predetermined rules when the signatures of known attack patterns or traffic anomalies are identified.
Dr. Sandeep Kulkarni, Utkarsh Kshirsagar, Mayank Marne, Yash Surti   +3 more
openaire   +3 more sources

Auto-Encoder LSTM Methods for Anomaly-Based Web Application Firewallall

International Journal of Information and Communication Technology Research, 2019
Web Application Firewall (WAF) is known as one of the Intrusion Detection System (IDS) solutions for protecting web servers from HTTP attacks. WAF is a tool to identify and prevent many types of attacks, such as XSS and SQL-injection. In this paper, deep
Ali Moradi Vartouni, Soheil Mehralian, Mohammad Teshnehlab, Saeed Sedighian Kashi   +3 more
doaj  

Creation and Training of artifical neural network for Detection and Neutralization of Network DDos–attacks(“Denial of Service”)

Вестник Дагестанского государственного технического университета: Технические науки
Objective. The goal of the research is to develop an artificial neural network (ANN) to detect and neutralize network DDoS attacks.Method. The research is based on the use of the Python programming language in an environment that supports the training ...
P. V. Razumov, L. V. Cherkesova, E. A. Revyakina   +2 more
doaj   +1 more source

Enhanced Web Payload Classification Using WAMM: An AI-Based Framework for Dataset Refinement and Model Evaluation

IEEE Access
Web applications increasingly face evasive and polymorphic attack payloads, yet traditional Web Application Firewalls (WAFs) based on static rule sets such as the Open Web Application Security Project (OWASP) Core Rule Set (CRS) often miss obfuscated or ...
Heba Osama, Omar Elebiary, Youssef Qassim, Mohamed Amgad, Ahmed Maghawry, Ahmed Saafan, Haitham Ghalwash   +6 more
doaj   +1 more source

A Thirty-Day Dataset of Malicious HTTP Requests Blocked by OWASP ModSecurity on a Production Web Server

Data
We present a real-world dataset capturing thirty consecutive days of malicious HTTP traffic filtered and blocked by the OWASP ModSecurity Web Application Firewall (WAF) on a live production server.
Geza Lucz, Bertalan Forstner
doaj   +1 more source

An Adaptive Rule-Based Engine for Application-Layer Security

Applied Sciences
We present a composable, pipeline-based rules engine for detecting application-level intrusions in HTTP traffic with adaptive rule generation capabilities. Rules are expressed in JSON chain multi-step decoders (Base64, hex, XOR, zlib, gzip) with matching
Mihai-Cătălin Cujbă, Costin-Gabriel Chiru, Ion Bica, Iulian Tiţă   +3 more
doaj   +1 more source

Virtual Patients in continuing medical education and residency training: a pilot project for acceptance analysis in the framework of a residency revision course in pediatrics

GMS Zeitschrift für Medizinische Ausbildung, 2015
Aim: Virtual patients (VPs) are a one-of-a-kind e-learning resource, fostering clinical reasoning skills through clinical case examples. The combination with face-to-face teaching is important for their successful integration, which is referred to as ...
Lehmann, Ronny, Hanebeck, Benjamin, Oberle, Stephan, Simon, Anke, Choukair, Daniela, Tönshoff, Burkhard, Huwendiek, Sören   +6 more
doaj   +1 more source