Abstract
Most interactions or relationships among objects or entities can be modelled as graphs. Some classes of entity relationships have their own name due to their popularity; social graphs look at people’s relationships, computer networks show how computers (devices) communicate with each other and molecules represent the chemical bonds between atoms. Some graphs can also be dynamic in the sense that, over time, relationships change. Since the entities can, to a certain extent, manage their relationships, we say any changes in relationships reflect a change in entity behaviour. By comparing the relationships of an entity at different points in time, we can say there has been a change in behaviour. In this paper, we attempt to detect malicious devices in a network by showing a significant change in behaviour through analysing traffic data.
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Gibson, M.S. (2020). Detecting Node Behaviour Changes in Subgraphs. In: Bramer, M., Ellis, R. (eds) Artificial Intelligence XXXVII. SGAI 2020. Lecture Notes in Computer Science(), vol 12498. Springer, Cham. https://doi.org/10.1007/978-3-030-63799-6_12
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DOI: https://doi.org/10.1007/978-3-030-63799-6_12
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