Block Chain based Malware Detection System for Smartphone Application

The quick rise of smartphone malware indicates that cybercriminals are switching from traditional personal computer systems to mobile devices. For adequate security, technology specialists are currently creating new anti-malware techniques. This study proposes the use of a block chain to identify malicious smartphone applications. Two internal and external proprietary block chains are combined to create a private dual block chain and a block chain alliance for the decision-making process in the system. While the external block chain stores the blocks for apps of existing models, the private internal block chain stores include blocks drawn from both statically and dynamically driven function removers. Additionally, the proposed system blocks the outside parties, enabling anti-malware vendors to provide more precise solutions. Because cloud resources can control loads and durability, resource monitoring may be dynamic in nature. The additional feature of the proposed system is that authentication techniques like cryptography and digital signature can be integrated. Finally, the effectiveness of the suggested structure is assessed in terms of throughput and precision rate for malware detection.