A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

[HTML][HTML] Machine and deep learning-based XSS detection approaches: a systematic literature review

IK Thajeel, K Samsudin, SJ Hashim… - Journal of King Saud …, 2023 - Elsevier
Web applications are paramount tools for facilitating services providing in the modern world.
Unfortunately, the tremendous growth in the web application usage has resulted in a rise in …

{DONAPI}: Malicious {NPM} Packages Detector using Behavior Sequence Knowledge Map**

C Huang, N Wang, Z Wang, S Sun, L Li… - 33rd USENIX Security …, 2024 - usenix.org
With the growing popularity of modularity in software development comes the rise of
package managers and language ecosystems. Among them, npm stands out as the most …

[HTML][HTML] Enhancing privacy-preserving intrusion detection through federated learning

A Alazab, A Khraisat, S Singh, T Jan - Electronics, 2023 - mdpi.com
Detecting anomalies, intrusions, and security threats in the network (including Internet of
Things) traffic necessitates the processing of large volumes of sensitive data, which raises …

[HTML][HTML] A review on the internet of things (iot) forensics: Challenges, techniques, and evaluation of digital forensic tools

A Alazab, A Khraisat, S Singh - 2023 - intechopen.com
Recently, the exponential growth of Internet of Things (IoT) network-connected devices has
resulted in the exchange of large amounts of data via a smart grid. This extensive …

Routing attacks detection in 6lowpan-based internet of things

A Alazab, A Khraisat, S Singh, S Bevinakoppa… - Electronics, 2023 - mdpi.com
The Internet of Things (IoT) has become increasingly popular, and opened new possibilities
for applications in various domains. However, the IoT also poses security challenges due to …

[HTML][HTML] Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model

IK Thajeel, K Samsudin, SJ Hashim… - Journal of King Saud …, 2023 - Elsevier
Web applications' popularity has raised attention in various service domains, which
increased the concern about cyber-attacks. One of these most serious and frequent web …

Vulnerable JavaScript functions detection using stacking of convolutional neural networks

A Sheneamer - PeerJ Computer Science, 2024 - peerj.com
Abstract System security for web-based applications is paramount, and for the avoidance of
possible cyberattacks it is important to detect vulnerable JavaScript functions. Developers …

Combating phishing and script-based attacks: a novel machine learning framework for improved client-side security

J Hong, H Kim, S Oh, Y Im, H Jeong, H Kim… - The Journal of …, 2025 - Springer
Given the rising challenge of client-based web attacks through vulnerabilities in websites,
traditional pattern detection methods often fall short in identifying emerging threats. To …

Android ransomware detection using binary Jaya optimization algorithm

M Alazab - Expert Systems, 2024 - Wiley Online Library
Ransomware is a serious security concern to mobile devices, as it prevents the use of the
device and its contents until a ransom is paid, resulting in considerable financial losses for …