Ontology for Cross-Site-Scripting (XSS) Attack in Cybersecurity
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 in a web browser of the client by including c...
Hlavní autoři: | Jean Rosemond Dora, Karol Nemoga |
---|---|
Médium: | Článek |
Jazyk: | English |
Vydáno: |
MDPI AG
2021-05-01
|
Edice: | Journal of Cybersecurity and Privacy |
Témata: | |
On-line přístup: | https://www.mdpi.com/2624-800X/1/2/18 |
Podobné jednotky
-
A hybrid XSS attack (HYXSSA) based on fusion approach: Challenges, threats and implications in cybersecurity
Autor: Dragan Korać, a další
Vydáno: (2022-11-01) -
A Survey of Exploitation and Detection Methods of XSS Vulnerabilities
Autor: Miao Liu, a další
Vydáno: (2019-01-01) -
Machine and Deep Learning-based XSS Detection Approaches: A Systematic Literature Review
Autor: Isam Kareem Thajeel, a další
Vydáno: (2023-07-01) -
Grey-Box Fuzzing Based on Reinforcement Learning for XSS Vulnerabilities
Autor: Xuyan Song, a další
Vydáno: (2023-02-01) -
A Robust Machine Learning Model for Detecting XSS Attacks on IoT over 5G Networks
Autor: Mahmoud AlJamal, a další
Vydáno: (2024-12-01)