Classification and Sharing Method of Malware Based on Threat Intelligence

Abstract

In recent years, the number of malware continues to grow, which has a huge impact on individuals, enterprises and so on. In this paper, a method of malware classification and sharing based on Threat Intelligence is proposed, which transforms malware into gray-scale image and uses broad learning system to classify malware. we design a malware intelligence storage system based on IPFS and Ethereum smart contract. For classified intelligence, it is uploaded by user node to realize the prevention from single node to full node. Experiments show that the performance of this algorithm is better than other classification algorithms, and the decentralized storage system based on blockchain is more secure and efficient.