Abstract
With the rapid expansion of the botnet, a single network security system could not meet the requirement. Botnet situation awareness can dynamically reflect the overall botnet security and predict botnet security development trends. Characteristics of big data create opportunity for research breakthrough of large scale botnet situation awareness. This article discusses about botnet security situation awareness based on multi-source logs by utilizing big data analysis. It promotes detection accuracy and fast response of botnet events, and implements the early warning for DDoS attacks.
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© 2015 Springer International Publishing Switzerland
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Luo, Z., Shen, J., Jin, H., Liu, D. (2015). Research of Botnet Situation Awareness Based on Big Data. In: Cai, R., Chen, K., Hong, L., Yang, X., Zhang, R., Zou, L. (eds) Web Technologies and Applications. APWeb 2015. Lecture Notes in Computer Science(), vol 9461. Springer, Cham. https://doi.org/10.1007/978-3-319-28121-6_7
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DOI: https://doi.org/10.1007/978-3-319-28121-6_7
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