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 …

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] 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 …

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] 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 …

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 …

Enhancing IoT Intrusion Detection System Performance with the Diversity Measure as a Novel Drift Detection Method

OA Mahdi, A Alazab, S Bevinakoppa… - 2023 9th …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Things (IoT) has revolutionized various sectors, such as
healthcare, intelligent homes, agriculture, transportation, and manufacturing. Nevertheless …

Effective techniques for protecting the privacy of web users

M Bubukayr, M Frikha - Applied Sciences, 2023 - mdpi.com
With the rapid growth of web networks, the security and privacy of online users are
becoming more compromised. Especially, the use of third-party services to track users' …

Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation

MF Rozi, T Ban, S Ozawa, A Yamada… - IEEE …, 2023 - ieeexplore.ieee.org
Malicious JavaScript code in web applications poses a significant threat as cyber attackers
exploit it to perform various malicious activities. Detecting these malicious scripts is …