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N. M. Salleh

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Open access 2026

An Integrated System for Automated Threat Detection and Response Using Wazuh, Suricata and Telegram

The increasing speed and diversity of cyberattacks require security monitoring systems that progress from detection to timely and controlled containment. This study developed an integrated framework that combines Suricata network intrusion detection, Wazuh event correlation and Active Response, and Telegram notificatio...

Arfa Nadia Mohamad Nizam, Nur Fadzilah Othman, N. M. Salleh et al. · 0 citations
Open access 2026

Monitoring Remote Access Trojan (RAT) Communications Using Wireshark and Suricata

Remote Access Trojans (RATs) enable an attacker to establish unauthorized remote control over a compromised host and can maintain command-and-control communication that resembles ordinary network traffic. This study developed and functionally tested a network-monitoring system for observing simulated RAT communication...

N. M. Salleh, Muhammad Amin bin Jamaluddin, S. R. Selamat et al. · 0 citations
Open access 2026

Comparative Evaluation of Feature Selection Strategies and Machine Learning Classifiers for IoT Botnet Detection

The rapid expansion of Internet of Things (IoT) devices has increased the need for accurate botnet detection methods that can operate with a compact set of network-traffic features. This study presents a controlled comparative evaluation of eight feature selection strategies and six machine learning classifiers using t...

Fong Zi Khang, M. F. Abdollah, W. Yassin et al. · 0 citations
Open access 2026

Development of a Raspberry Pi-Based Secure USB Passthrough System to Mitigate Bad USB Keystroke-Injection Attacks

A low-cost USB passthrough system that operates independently of host-side security software, using a Raspberry Pi 4 as an intermediary security layer between a keyboard and a host computer is developed.

Muhammad Alif Nukman bin Nor Azman, N. M. Salleh, S. R. Selamat et al. · 0 citations
Open access 2026

Development of an IoT-Based Real-Time Water Quality Monitoring System for Fish Farming

Water quality monitoring is essential in aquaculture to ensure healthy fish growth and sustainable farming practices. In Malaysia, fish farmers commonly rely on manual methods to monitor key water quality parameters, including temperature and turbidity. However, these methods are labour-intensive, time-consuming, and p...

Mohamad Afif Md Gharif, N. M. Salleh, Haniza Nahar et al. · 0 citations
2026

Enhancing IoT Smart Home Security Through Machine Learning-Based Cyberattack Detection: A Comparative Evaluation

Smart homes depend on interconnected sensors, cameras, routers, mobile applications, and cloud services. This connectivity improves automation and convenience, but it also expands the attack surface for Distributed Denial of Service (DDoS), Denial of Service (DoS), Mirai botnet, brute-force, spoofing, reconnaissance, a...

Nurin Abyana Balqis Jailani, Haniza Nahar, N. M. Salleh et al. · 0 citations

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