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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 …
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
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 …
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**
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 …
package managers and language ecosystems. Among them, npm stands out as the most …
[HTML][HTML] Enhancing privacy-preserving intrusion detection through federated learning
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 …
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 …
resulted in the exchange of large amounts of data via a smart grid. This extensive …
Routing attacks detection in 6lowpan-based internet of things
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 …
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
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 …
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 …
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 …
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 …
device and its contents until a ransom is paid, resulting in considerable financial losses for …