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Propagation of Computer Worms—A Study

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Soft Computing and Signal Processing ( ICSCSP 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 840))

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Abstract

Worms are commonly disseminated through two methods: scanning vulnerable machines in a network as well as spreading through topological neighbors. Modeling worm propagation can assist us in understanding how worms propagate and develop efficient defense tactics. However, most past studies either focused on their intended task or explored detection systems as well as defense systems. Few provide very detailed study in worm propagation modeling, that is useful in building defense mechanisms to deal with worm spread. This work includes a survey as well as comparison of worm propagation models based on two independent worm-spreading strategies. We first define worm features based on their spreading behavior and then classify the numerous target discovery approaches they deploy. In addition, we examine several topologies for modeling worm spreading, analyze numerous models of worm propagation and their effectiveness. On the basis of the analysis of worm spread and current studies, future directions for modeling worm propagation models are offered.

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Correspondence to Mundlamuri Venkata Rao .

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Rao, M.V., Midhunchakkaravarthy, D., Dandu, S. (2024). Propagation of Computer Worms—A Study. In: Zen, H., Dasari, N.M., Latha, Y.M., Rao, S.S. (eds) Soft Computing and Signal Processing. ICSCSP 2023. Lecture Notes in Networks and Systems, vol 840. Springer, Singapore. https://doi.org/10.1007/978-981-99-8451-0_54

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