Results 61 to 70 of about 512 (176)

A hybrid of CNN and LSTM methods of XSS Attacks

, 2022
Abstract — Cross-site scripting is a common attack on online applications that is vulnerable at the application layer. The attacker injects the script and handles malicious scripts for trusted websites. There are various sorts of XSS scripts that can be used to target extremely open websites and online apps.
Sruthy Varghese, Lisha Varghese
openaire   +2 more sources

A Comprehensive Survey on LLM‐Based Network Management and Operations

International Journal of Network Management, Volume 35, Issue 6, November/December 2025.
ABSTRACT The growing demands for network capacity and the increasing complexities of modern network environments pose significant challenges for effective network management and operations. In response, network operators and administrators are moving beyond traditional manual and rule‐based methods, adopting advanced artificial intelligence (AI)‐driven
Jibum Hong, Nguyen Van Tu, James Won‐Ki Hong   +2 more
wiley   +1 more source

Presentation of a Pattern to Counteract the Attacks of XSS Malware

International Journal of Computer Applications, 2016
Cross Site programming (XSS) is the script attack in web pages, and it is accounted as one of the most dangerous problems of web applications. The researchers of security have investigated on different problems and they have found that the XSS vulnerability exists in many of known websites.
Nasser Modiri, Abbas Ali
openaire   +1 more source

GMSA: Gathering Multiple Signatures Approach to Defend Against Code Injection Attacks

IEEE Access, 2018
Code injection attacks (CIAs) exploit security vulnerabilities and computer bugs that are caused by processing invalid codes. CIA is a problem which hackers attempt to introduce to any new method, their objective being to bypass the protection system. In
Hussein Alnabulsi, Rafiqul Islam, Majharul Talukder   +2 more
doaj   +1 more source

An Improved Detection of Cross-Site Scripting (XSS) Attacks Using a Hybrid Approach Combining Convolutional Neural Networks and Support Vector Machine

Journal of Cybersecurity and Privacy
Cross-site scripting (XSS) attacks are among the threats facing web security, resulting from the diversity and complexity of HTML formats. Research has shown that some text processing-based methods are limited in their ability to detect this type of ...
Abdissamad Ayoubi, Loubna Laaouina, Adil Jeghal, Hamid Tairi   +3 more
doaj   +1 more source

A PU‐learning based approach for cross‐site scripting attacking reality detection

IET Networks
Cross‐site scripting (XSS) attack has been one of the most dangerous attacks in cyberspace security. Traditional methods essentially discover XSS attack by detecting malicious payloads in requests, which is unable to distinguish attacking attempts with ...
Wenbo Wang, Peng Yi, Huikai Xu
doaj   +1 more source

Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System

Journal of Computer Networks and Communications, 2018
With improvement in computing and technological advancements, web-based applications are now ubiquitous on the Internet. However, these web applications are becoming prone to vulnerabilities which have led to theft of confidential information, data loss,
Bakare K. Ayeni, Junaidu B. Sahalu, Kolawole R. Adeyanju   +2 more
doaj   +1 more source

Assessment of the web application security effectiveness against various methods of network attacks

Journal of Computer Sciences Institute, 2018
The article discusses the issue of the security of Internet applications. The most popular types of attacks and methods of securing web applications against them are discussed. The study conducted the effectiveness of security of web applications.
Mateusz Erbel, Piotr Kopniak
doaj   +1 more source

Behind the Code: Identifying Zero-Day Exploits in WordPress

Future Internet
The rising awareness of cybersecurity among governments and the public underscores the importance of effectively managing security incidents, especially zero-day attacks that exploit previously unknown software vulnerabilities. These zero-day attacks are
Mohamed Azarudheen Mohamed Mohideen, Muhammad Shahroz Nadeem, James Hardy, Haider Ali, Umair Ullah Tariq, Fariza Sabrina, Muhammad Waqar, Salman Ahmed   +7 more
doaj   +1 more source

Unveiling XSS Threats: A Bipartite Graph Approach with Ensemble Deep Learning for Enhanced Detection

Information
Cross-Site Scripting (XSS) attacks are a common source of vulnerability for web applications, necessitating scalable mechanisms for detection. In this work, a new method based on bipartite graph-based feature extraction and an ensemble learning ...
Wafa Alorainy
doaj   +1 more source