Advanced intrusion prevention for geographically dispersed higher education cloud networks

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Abstract

We present the design and implementation of a novel cybersecurity architecture for a Linux community public cloud supporting education and research. The approach combines first packet authentication and transport layer access control gateways to block fingerprinting of key network resources. Experimental results are presented for two interconnected data centers in New York. We show that this approach can block denial of service attacks and network scanners, and provide geolocation attribution based on a syslog classifier.

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DeCusatis, C., Liengtiraphan, P., & Sager, A. (2018). Advanced intrusion prevention for geographically dispersed higher education cloud networks. In Lecture Notes in Networks and Systems (Vol. 22, pp. 132–143). Springer. https://doi.org/10.1007/978-3-319-64352-6_13

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