Citation

Dharmalingam, Kuberan and Yogarayan, Sumendra and Mae, Ang Ee (2026) Analysis of Spoofing and Phishing Attacks on IoT Device. In: 14th International Conference on Information and Communication Technology, ICoICT 2026, 30 July 2026 - 31 July 2026, Bandung.

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Abstract

Internet of Things (IoT) device security remains a concern due to their limited computational resources and increasing exposure to network-based cyberattacks. While recent IoT security research has focused on machine-learning and blockchain-based defense mechanisms, many of these approaches introduce computational overhead that may not be suitable for resource-constrained devices. This study investigates lightweight host-based countermeasures against network-level spoofing and phishing attacks targeting IoT environments. Specifically, the research examines attack entry points, classifies associated vulnerabilities, and evaluates three practical defense mechanisms: packet analysis using Wireshark, port monitoring using iptables, and host file reconfiguration. Detection is performed through the identification of abnormal TCP communication patterns, unauthorized port activity, and malicious-domain access attempts. A controlled experimental environment based on a Raspberry Pi IoT platform was used to assess the effectiveness and resource consumption of each approach. The results indicate that host file reconfiguration achieved the highest detection accuracy (96%) with the lowest CPU overhead (7%), while the combined deployment of all mechanisms achieved a 99% blocking success rate. The findings demonstrate that lightweight host-based defenses can provide protection against phishing and spoofing attacks while maintaining operational suitability for resource-constrained IoT devices.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	IoT security, phishing attacks
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	01 Oct 2026 04:47
Last Modified:	01 Oct 2026 04:47
URII:	http://shdl.mmu.edu.my/id/eprint/16776

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