Distributed Malware Detection System based on Decentralized Architecture in Local Area Networks
The paper proposes the architecture of a distributed malware detection system based on decentralized architecture in local area computer networks. Its feature is the synthesis of its requirements of distribution, decentralization, multilevel. This allows you to use it autonomously. In addition, the feature of the components of the system is the same organization, which allows the exchange of knowledge in the middle of the system, which, unlike the known systems, allows you to use the knowledge gained by separate parts of the system in other parts. The developed system allows to fill it with subsystems of detection of various types of malicious software in local area networks. The paper presents the results of experiments on the use of the developed system for the detection of metamorphic viruses.
G. Markowsky et al., "Distributed Malware Detection System based on Decentralized Architecture in Local Area Networks," Advances in Intelligent Systems and Computing, vol. 871, pp. 582-598, Springer Verlag, Sep 2018.
The definitive version is available at https://doi.org/10.1007/978-3-030-01069-0_42
2018 International Conference on Computer Science and Information Technologies, CSIT 2018 (2018: Sep. 11-14, Lviv, Ukraine)
Keywords and Phrases
Computer architecture; Computer crime; Intelligent systems; Knowledge management; Local area networks; Malware; Network architecture; Decentralized architecture; Distributed systems; Local areas; Malware detection; Distributed computer systems; Structure Kripke
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Article - Conference proceedings
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01 Sep 2018