SecureChain-MD: A Consortium Blockchain Framework with Privacy Preserving Smart Contracts for Malware Detection in Mobile Devices
Keywords:
Privacy-Preserving Smart Contracts, Malware Detection, Mobile Security , Android Malware , Multi-Feature Detection Model, Sensitive Behavior Graph (SBG).Abstract
Mobile devices, particularly those running Android, are increasingly targeted by malware due to their open-source nature and widespread adoption. Traditional detection methods struggle with code obfuscation, encryption, and evolving malware families.
Blockchain has emerged as a promising solution for decentralized trust and tamper-proof evidence storage, while privacy-preserving smart contracts enhance compliance and confidentiality.
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References
A. Dehghantanha, H. Karimipour, and A. Azmoodeh, “Cybersecurity in smart farming: Canada market research,” arXiv preprint arXiv:2104.05183, 2021.
T. T. A. Dinh, R. Liu, M. Zhang, G. Chen, B. C. Ooi, and J. Wang, “Untangling blockchain: A data processing view of blockchain systems,” IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 7, pp. 1366–1385, 2018.
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