A Blockchain-Based Malware Detection Model for IoT Devices
Doaa Abdelrahman, Mohamed Rasslan, Nashwa Abdelbaki · International Journal of Safety and Security Engineering · 2025
Malware is malicious software designed to cause destructive actions that damage information systems and networks.Malware infections have increased rapidly, and malware types have become more sophisticated, making malware detection more difficult.However, the IoT technology is vulnerable to malware attacks, since such devices have a permanent internet connection and no security.This makes it easier for the hackers to access them.These malware attacks are becoming go-to attacks on hackers.Thus, new malware detection techniques are required to address this challenge.Building a blockchain solution that allows IoT devices to download files from the Internet and verify whether they are malicious is an urgent need.The recent emergence of blockchain technology represents a solution because of its features, such as decentralization, persistence, and anonymity.Blockchain can be used instead of ordinary databases in signature-based malware detection solutions to provide decentralization and integrity.Another vital usage for blockchain networks, especially for Android devices, is that they can offer heuristic malware detection techniques for low-resource devices.Moreover, using blockchain technology overcomes some difficulties in malware detection and improves the detection ratio compared with strategies that do not utilize blockchain technology.This study examined different malware detection models based on blockchain technology.Furthermore, blockchain technology's effects on malware detection are elaborated on, particularly in an Android environment.