Results 61 to 70 of about 1,001 (205)

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

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

Cross-site scripting (XSS) vulnerability prevention in open-source web content management system documentation

, 2023
Cross-site scripting (XSS) -haavoittuvuudet ovat olleet merkittävä uhka web-sovelluksille jo yli kahden vuosikymmenen ajan. XSS-haavoittuvuudet ovat säilyttäneet paikkansa yleisimmin havaittujen web-sovellushaavoittuvuuksien tilastoissa siitä huolimatta,
Hanhijoki, Heikki
core  

A Comprehensive Framework for Testing Goal‐Oriented NFPs in Software Product Lines

Journal of Software: Evolution and Process, Volume 37, Issue 10, October 2025.
Testing non‐functional properties (NFPs) is often underprioritized in software product line engineering (SPLE), leading to significant quality risks. This paper introduces a comprehensive framework utilizing goal models for testing NFPs in software product lines developed with the feature and goal model approach. The framework offers solutions to three
Ibtesam Bashir Gwasem
wiley   +1 more source

IMPLEMENTING HASH TABLE TO DETECT AND SANITIZE ENCODED CROSS-SITE SCRIPTING (XSS) AND SQL INJECTION ATTACK STRINGS [PDF]

, 2010
IMPLEMENTING HASH TABLE TO DETECT AND SANITIZE ENCODED CROSS-SITE SCRIPTING (XSS) AND SQL INJECTION ATTACK STRINGS - Cross site scripting, SQL injection, hash table, website security, character encoding, java ...
SALOMO, IRENE
core  

QuantumNetSec: Quantum Machine Learning for Network Security

International Journal of Network Management, Volume 35, Issue 4, July/August 2025.
ABSTRACT As the digital landscape becomes increasingly complex, traditional cybersecurity measures are struggling to keep pace with the growing sophistication of cyber threats. This escalating challenge calls for new, more robust solutions. In this context, quantum computing emerges as a powerful tool that can change our approach to network security ...
Diego Abreu, David Moura, Christian Esteve Rothenberg, Antônio Abelém   +3 more
wiley   +1 more source

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   +1 more source

How Can Cryptography Secure Online Assessments Against Academic Dishonesty?

SECURITY AND PRIVACY, Volume 8, Issue 4, July/August 2025.
ABSTRACT Popular learning platforms like Canvas LMS (Learning Management System), Moodle, and Google Forms have become widespread among university students. This research focuses on these platforms because of their significant role in modern online education.
Aarav Ashish Mehrishi, Dipti Kapoor Sarmah, Maya Daneva   +2 more
wiley   +1 more source

Search Multiple Types of Research Assets From Jupyter Notebook

Software: Practice and Experience, Volume 55, Issue 5, Page 946-965, May 2025.
ABSTRACT Objective Data science and machine learning methodologies are essential to address complex scientific challenges across various domains. These advancements generate numerous research assets such as datasets, software tools, and workflows, which are shared within the open science community. Concurrently, computational notebook environments like
Na Li, Siamak Farshidi, Zhiming Zhao
wiley   +1 more source

Efficient Detection of XSS and DDoS Attacks with Bent Functions

Information
In this paper, we investigate the use of Bent functions, particularly the Maiorana–McFarland (M–M) construction, as a nonlinear preprocessing method to enhance machine learning-based detection systems for Distributed Denial of Service (DDoS) and Cross ...
Shahram Miri Kelaniki, Nikos Komninos
doaj   +1 more source