Graphene: A Secure Cloud Communication Architecture

  • Abu FaisalEmail author
  • Mohammad Zulkernine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11605)


Due to ubiquitous-elastic computing mechanism, platform independence and sustainable architecture, cloud computing emerged as the most dominant technology. However, security threats become the most blazing issue in adopting such a diversified and innovative approach. To address some of the shortcomings of traditional security protocols (e.g., SSL/TLS), we propose a cloud communication architecture (Graphene) that can provide security for data-in-transit and authenticity of cloud users (CUs) and cloud service providers (CSPs). Graphene also protects the communication channel against some most common attacks such as man-in-the-middle (MITM) (including eavesdropping, sniffing, identity spoofing, data tampering), sensitive information disclosure, replay, compromised-key, repudiation and session hijacking attacks. This work also involves the designing of a novel high-performance cloud focused security protocol. This protocol efficiently utilizes the strength and speed of symmetric block encryption with Galois/Counter mode (GCM), cryptographic hash, public key cryptography and ephemeral key-exchange. It provides faster reconnection facility for supporting frequent connectivity and dealing with connection trade-offs. The security analysis of Graphene shows promising protection against the above discussed attacks. Graphene also outperforms TLSv1.3 (the latest stable version among the SSL successors) in performance and bandwidth consumption significantly and shows reasonable memory usage at the server-side.


Cloud computing Security protocol Data-in-transit Authentication Perfect forward secrecy 



This work is partially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canada Research Chairs (CRC) program. We would also like to convey special thanks to Mohima Hossain from the TRL Lab at Queen’s University for the fruitful discussion and her critics during this research work.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Computing, Queen’s UniversityKingstonCanada

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