Results 71 to 80 of about 2,773 (206)
Automated and Explainable Denial of Service Analysis for AI‐Driven Intrusion Detection Systems
IET Information Security, Volume 2026, Issue 1, 2026.With the increasing frequency and sophistication of distributed denial of service (DDoS) attacks, it has become critical to develop more efficient and interpretable detection methods. Traditional detection systems often struggle with scalability and transparency, hindering real‐time response and understanding of attack vectors. This article presents an
Paul Badu Yakubu +6 more
wiley +1 more source
Securing Machine‐Type Communications: A Survey on Privacy Threats and Countermeasures
IET Information Security, Volume 2026, Issue 1, 2026.Machine‐type communication (MTC) is a fundamental enabler of the Internet of Things (IoT) and emerging 5G/6G networks, supporting massive deployments of heterogeneous and resource‐constrained devices. However, large‐scale data collection, persistent connectivity, and limited device capabilities introduce critical privacy challenges that are not ...
Amirhosein Imani +2 more
wiley +1 more source
XSS attacks : cross-site scripting exploits and defense /
, 2007 Cross Site Scripting Attacks starts by defining the terms and laying out the ground work. It assumes that the reader is familiar with basic web programming (HTML) and JavaScript. First it discusses the concepts, methodology, and technology that makes XSS
Grossman, Jeremiah.
core
Website Penetration Analysis Against XSS Attacks using Payload Method
Journal of Innovation Information Technology and ApplicationThis research aims to analyze the effectiveness of various penetration testing methods in identifying and mitigating XSS (Cross-Site Scripting) vulnerabilities in web applications.
Luthfi Arian Nugraha
doaj +1 more source
Detection of APTs by Machine Learning: A Performance Comparison
Expert Systems, Volume 43, Issue 1, January 2026.ABSTRACT Recent advances in machine learning and deep learning have significantly impacted multiple domains, including computer vision, natural language processing and cybersecurity. In the context of increasingly sophisticated Advanced Persistent Threats (APTs), deep learning models have shown strong potential for network intrusion detection by ...
Marcos Luengo Viñuela +5 more
wiley +1 more source
Lightweight Deep Learning Approach for Intelligent Intrusion Detection in IoT Networks
International Journal of Distributed Sensor Networks, Volume 2026, Issue 1, 2026.Intrusion detection system (IDS) is designed to analyze and monitor the network traffic to identify unauthorized access or attacks in an Internet of Things (IoT). IDS assists in protecting IoT devices and networks by recognizing malicious activities and preventing potential breaches.
Srikanth Mudiyanuru Sriramappa +5 more
wiley +1 more source
Application Research of BiLSTM in Cross-Site Scripting Detection
Jisuanji kexue yu tansuo, 2020 At present, machine learning methods are used in the most traditional cross-site scripting (XSS) detection technologies, which have some defects, such as bad readability because of maliciously confused code, insufficient feature extraction and low ...
CHENG Qiqin, WAN Liang
doaj +1 more source
JavaScript Referrer Scripts XSS Injection
, 2007 An example of how to perform XSS injection using HTTP referrer ...
Eve, Martin Paul
core
, 2020 В роботі надано аналіз XSS атак та методів пошуку XSS вразливостей, надано класифікацію XSS атак, наведені приклади векторів здійснення атак цього типу і розроблений скрипт для тестування программ з пошуку XSS ...
Букатич, І. В.
core
Firefox nested comment fragmented XSS
, 2007 Following on from a post on sla.ckers it emerges that Firefox has a vulnerability/bug that is very difficult to filter against and allows a fragmented XSS ...
Eve, Martin Paul
core