Results 1 to 10 of about 5,787 (133)

Structural Learning of Attack Vectors for Generating Mutated XSS Attacks [PDF]

Electronic Proceedings in Theoretical Computer Science, 2010
Web applications suffer from cross-site scripting (XSS) attacks that resulting from incomplete or incorrect input sanitization. Learning the structure of attack vectors could enrich the variety of manifestations in generated XSS attacks.
Yi-Hsun Wang, Ching-Hao Mao, Hahn-Ming Lee   +2 more
doaj   +6 more sources

Possibilities of conducting XSS-attacks and the development of countermeasures [PDF]

E3S Web of Conferences, 2020
The article describes the investigation process of the possibilities of XSS–attacks, and the development of counteraction means to these attacks. Researches were determined whether XSS–attack can be fulfilled successfully, and vulnerability detection ...
Revyakina Yelena, Cherckesova Larissa, Safaryan Olga, Korochentsev Denis, Boldyrikhin Nikolay, Ivanov Yuri   +5 more
doaj   +2 more sources

Ontology for Cross-Site-Scripting (XSS) Attack in Cybersecurity [PDF]

Journal of Cybersecurity and Privacy, 2021
In this work, we tackle a frequent problem that frequently occurs in the cybersecurity field which is the exploitation of websites by XSS attacks, which are nowadays considered a complicated attack. These types of attacks aim to execute malicious scripts
Jean Rosemond Dora, Karol Nemoga
doaj   +2 more sources

A Robust Machine Learning Model for Detecting XSS Attacks on IoT over 5G Networks

Future Internet
As the Internet of Things (IoT) expands rapidly and 5G networks become more widespread, the need for strong cybersecurity measures in IoT systems has become increasingly critical.
Mahmoud AlJamal, Rabee Alquran, Ayoub Alsarhan, Mohammad Aljaidi, Mohammad Alhmmad, Wafa’ Q. Al-Jamal, Nasser Albalawi   +6 more
doaj   +3 more sources

Swift Detection of XSS Attacks: Enhancing XSS Attack Detection by Leveraging Hybrid Semantic Embeddings and AI Techniques

Arabian Journal for Science and Engineering
AbstractCross-Site Scripting (XSS) attacks continue to be a significant threat to web application security, necessitating robust detection mechanisms to safeguard user data and ensure system integrity. In this study, we present a novel approach for detecting XSS attacks that harnesses the combined capabilities of the Universal Sentence Encoder (USE ...
Razan Ghanem, Halit Bakir
exaly   +2 more sources

A hybrid XSS attack (HYXSSA) based on fusion approach: Challenges, threats and implications in cybersecurity

Journal of King Saud University: Computer and Information Sciences, 2022
Cross-site scripting (XSS) attacks have been extensively studied in the literature, although mitigating such attacks remain a challenge for cyber defenders. In this paper, we survey the existing literature on XSS attacks, focusing on the range of attacks
Dragan Korać, Boris Damjanović, Dejan Simić, Kim-Kwang Raymond Choo   +3 more
doaj   +1 more source

MNN-XSS: Modular Neural Network Based Approach for XSS Attack Detection [PDF]

Computers, Materials & Continua, 2022
Abstract: The rapid growth and uptake of network-based communication technologies have made cybersecurity a significant challenge as the number of cyber-attacks is also increasing. A number of detection systems are used in an attempt to detect known attacks using signatures in network traffic.
Alqarni, Ahmed Abdullah, Alsharif, Nizar, Khan, Nayeem Ahmad, Georgieva, Lilia, Pardede, Eric, Alzahrani, Mohammed Y.   +5 more
openaire   +1 more source

Cost-effective detection system of cross-site scripting attacks using hybrid learning approach

Results in Engineering, 2023
Cross-Site Scripting (XSS) attacks inject malicious code payloads into web application logs, triggering stored cross-site scripting execution when accessing the view-logs interface.
Qasem Abu Al-Haija
doaj   +1 more source

Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model

Journal of King Saud University: Computer and Information Sciences, 2023
Web applications’ popularity has raised attention in various service domains, which increased the concern about cyber-attacks. One of these most serious and frequent web application attacks is a Cross-site scripting attack (XSS).
Isam Kareem Thajeel, Khairulmizam Samsudin, Shaiful Jahari Hashim, Fazirulhisyam Hashim   +3 more
doaj   +1 more source

Ensemble Methods to Detect XSS Attacks [PDF]

International Journal of Advanced Computer Science and Applications, 2020
Machine learning techniques are gaining popularity and giving better results in detecting Web application attacks. Cross-site scripting is an injection attack widespread in web applications. The existing solutions like filter-based, dynamic analysis, and static analysis are not effective in detecting unknown XSS attacks, and machine learning methods ...
PMD Nagarjun, Shaik Shakeel
openaire   +1 more source