Results 21 to 30 of about 512 (176)

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

Detection of Reflected XSS Vulnerabilities Based on Paths-Attention Method

Applied Sciences, 2023
Cross-site scripting vulnerability (XSS) is one of the most frequently exploited and harmful vulnerabilities among web vulnerabilities. In recent years, many researchers have used different machine learning methods to detect network attacks, but these ...
Xiaobo Tan, Yingjie Xu, Tong Wu, Bohan Li   +3 more
doaj   +1 more source

CODDLE: Code-Injection Detection With Deep Learning

IEEE Access, 2019
Code Injection attacks such as SQL Injection and Cross-Site Scripting (XSS) are among the major threats for today's web applications and systems. This paper proposes CODDLE, a deep learning-based intrusion detection systems against web-based code ...
Stanislav Abaimov, Giuseppe Bianchi
doaj   +1 more source

SWAP: Mitigating XSS attacks using a reverse proxy [PDF]

2009 ICSE Workshop on Software Engineering for Secure Systems, 2009
Due to the increasing amount of Web sites offering features to contribute rich content, and the frequent failure of Web developers to properly sanitize user input, cross-site scripting prevails as the most significant security threat to Web applications.
Peter Würzinger, Christian Platzer, Christian Ludl, Engin Kirda, Christopher Kruegel   +4 more
openaire   +1 more source

A Study on XSS Attacks: Intelligent Detection Methods

Journal of Physics: Conference Series, 2021
Abstract Cross-site scripting is one of the standard web application attacks vulnerable to the application layer. The attacker handles malicious scripting for trusted websites and inject the script. There are numerous types of XSS scripting vulnerable to attack websites incredibly open web applications.
V S Stency, N Mohanasundaram
openaire   +1 more source

Deep-Learning Based Injection Attacks Detection Method for HTTP

Mathematics, 2022
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, Shuaijie Si, Tengfei Tu, Yijie Shi, Sujuan Qin   +4 more
doaj   +1 more source

A Neutrosophic Approach to Robust Web Security: Mitigating XSS Attacks [PDF]

Neutrosophic Sets and Systems
Cross-Site Scripting (XSS) is one of the most grievous vulnerabilities-a pitfall through which web applications are affected. These types of attacks are complex, and the available threat landscape is always changing, making it hard for conventional ...
A. A. Salama, El-Said F. Aboelfotoh, Hazem M. El-Bakry, Hazem M. El-Bakry, Ahmed K. Essa, Ramiz Sabbagh, Doaa S. El-Morshedy   +6 more
doaj   +1 more source

Cross-Site Scripting Guardian: A Static XSS Detector Based on Data Stream Input-Output Association Mining

Applied Sciences, 2020
The largest number of cybersecurity attacks is on web applications, in which Cross-Site Scripting (XSS) is the most popular way. The code audit is the main method to avoid the damage of XSS at the source code level.
Chenghao Li, Yiding Wang, Changwei Miao, Cheng Huang   +3 more
doaj   +1 more source

Survey on Visualization of Information Diffusion over Networks

Computer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +1 more source

Enterprise Network Security Using Few‐Shot Meta‐Learning

Artificial Intelligence for Engineering, Volume 2, Issue 2, Page 142-157, June 2026.
This paper involves a few‐shot learning study that uses model‐agnostic meta‐learning. A meta‐dataset was curated by combining six benchmark network intrusion detection datasets by parsing network traffic data from PCAP files. An MAML model performs meta‐training, validation and meta‐testing before and after fine‐tuning.
Sushant Jain, Sumukh Gupta, Amit Pundir, Sanjeev Singh, Geetika Jain Saxena   +4 more
wiley   +1 more source