作者: Rune Schmidt Jensen
DOI:
关键词: Virus detection 、 Hamming distance 、 Java 、 Code (cryptography) 、 Matching (graph theory) 、 Biological immune system 、 Computer science 、 Hidden Markov model 、 Immune system 、 Speech recognition
摘要: In this thesis we consider the aspects of designing a computer immune system for virus detection and elimination using components techniques found in biological system. Already published proposals constructing systems are described analysed. Based on these analyses general introduction to modelling design detection. use three different kinds loose matching: Hamming Distance, R-Contiguous Symbols, Hidden Markov Models (HMMs). A complete depth to theory HMMs will be given algorithms used connexion with explained. framework representing together implemented Java as part CIS package which is thought being preliminary version system. Experiments infected programs presented. trained static code from non-infected traces calls generated by executions programs. The ability detect infections tested. It concluded that successfully can