Virus checking method based on immune algorithm in mixed peer-to-peer network

Abstract

The invention provides a virus checking method based on an immune algorithm in a mixed peer-to-peer network, belonging to the technical field of network security. In the method, the immune algorithm in an artificial immune system is applied to the mixed peer-to-peer network to check viruses, a newly generated memory checker is shared by utilizing the characteristic of peer-to-peer and direct communication between peer-to-peer network nodes, and a suspected virus base is established at a server end to reduce the omission and false rates of viruses in the network. The method combines the superiorities of the peer-to-peer network technology and the artificial immune technology, sufficiently utilizes the advantages of the two technologies and improves the checking efficiency of the network viruses.

Description

technical field The invention relates to a virus detection technology based on an immune algorithm in a peer-to-peer network, and belongs to the cross-technical application field of computer network, information security and artificial immune system. Background technique A computer virus refers to "a set of computer instructions or program codes that are compiled or inserted into computer programs to destroy computer functions or data, affect computer use, and are capable of self-replication." Early computer viruses mainly infect the host computer, destroy system files or modify hardware information, etc. However, with the application and development of computer networks, the transmission route of computer viruses has shifted from mobile disks to computer networks and the Internet, and the harm to people has also changed from a single host computer. Turn to computer networks and the Internet. The development of computer viruses, especially deformed viruses and network viru...

AI Technical Summary

Problems solved by technology

However, this method is limited to the virus detection of a single host, and cannot be combined with the computer network; moreover, only the self-tolerance process of the traditional negative selection algorithm is used in the detector generation process, which has certain limitations.

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