Inferring the Stealthy Bridges between Enterprise Network Islands in Cloud Using Cross-Layer Bayesian Networks

Published

October 29, 2015

Author(s)

Anoop Singhal, Xiaoyan Sun, Jun Dai, Peng Liu

Abstract

Enterprise networks are migrating to the public cloud to acquire computing resources for a number of promising benefits in terms of efficiency, expense, and flexibility. Except some public services, the enterpise network islands in cloud are expected to be absolutely isolated from each other. However, some stealthy bridges" may be created to break such isolation due to two features of public cloud: virtual machine image sharing and virtual machine co-residency. This paper proposes to use cross-layer Bayesian networks to infer the stealthy bridges existing between enterprise network islands. Prior to constructing cross-layer Bayesian networks, cloud-level attack graphs are built to capture the potential attacks enabled by stealthy bridges and reveal hidden possible attack paths. The experiment result justifies the cross-layer Bayesian network's capability of inferring the existence of stealthy bridges given supporting evidences from other intrusion steps.

Volume

215

Conference Dates

September 24-26, 2014

Conference Location

Beijing, CN

Conference Title

10th International Conference on Security and Privacy in Communication Networks

Pub Type

Conferences

Download Paper

https://doi.org/10.1007/978-3-319-23829-6_1

Local Download

Keywords

Cloud Computing, Stealthy Bridge, Bayesian Networks, Attack Graphs

Citation

Singhal, A. , Sun, X. , Dai, J. and Liu, P. (2015), Inferring the Stealthy Bridges between Enterprise Network Islands in Cloud Using Cross-Layer Bayesian Networks, 10th International Conference on Security and Privacy in Communication Networks , Beijing, CN, [online], https://doi.org/10.1007/978-3-319-23829-6_1, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=916236 (Accessed December 9, 2024)