Results 1 to 10 of about 512 (176)

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   +4 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

GeneMiner: A Classification Approach for Detection of XSS Attacks on Web Services. [PDF]

Comput Intell Neurosci, 2022
According to OWASP 2021, cross-site scripting (XSS) attacks are increasing through specially crafted XML documents. The attacker injects a malicious payload with a new pattern and combination of scripts, functions, and tags that deceits the existing security mechanisms in web services.
Gupta C, Singh RK, Mohapatra AK.
europepmc   +3 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

Securing web applications against XSS and SQLi attacks using a novel deep learning approach [PDF]

Scientific Reports
Modern web application development involves handling enormous amounts of sensitive and consequential data. Security is, therefore, a crucial component of developing web applications. A web application's security is concerned with safeguarding the data it
Jaydeep R. Tadhani, Vipul Vekariya, Vishal Sorathiya, Samah Alshathri, Walid El-Shafai   +4 more
doaj   +2 more sources

Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications [PDF]

Sensors, 2023
The web application market has shown rapid growth in recent years. The expansion of Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) has created new web-based communication and sensing frameworks. Current security research utilizes source
Ankur Chowdhary, Kritshekhar Jha, Ming Zhao   +2 more
doaj   +2 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, Khaled Bakour, Bakir Halit   +2 more
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