BloomStore: Dynamic Bloom-Filter-based Secure Rule-Space Management Scheme in SDN

Singh, Amritpal; Batra, Shalini; Aujla, Gagangeet Singh; Kumar, Neeraj; Yang, Laurence T.

Abstract

Software-defined networking (SDN) provides an efficient way of managing traffic load by shifting complex and rigid computing tasks to the centralized controller. It reduces the burden on the switches, task of which is to perform the routing based upon the rule-action pair. However, the flow table storage capacity of switches is limited. It may have to face performance bottlenecks, which, in turn, can cause serious security breaches and performance degradation. Hence, in this article, BloomStore, which is a dynamic bloom-filter-based secure rule-space management scheme in SDN, is proposed. BloomStore handles the data traffic dynamically by managing network resources. A twofold security check is used for secure data transfer using double hashing, i.e., two independent hash functions are used to generate k hash functions. Moreover, partitioned hashing is proposed to have insertion and query in a bucket of bloom array. The result analysis demonstrates that BloomStore outperforms its competing variants with respect to various performance parameters.

Citation

Singh, A., Batra, S., Aujla, G. S., Kumar, N., & Yang, L. T. (2020). BloomStore: Dynamic Bloom-Filter-based Secure Rule-Space Management Scheme in SDN. IEEE Transactions on Industrial Informatics, 16(10), 6252 - 6262. https://doi.org/10.1109/tii.2020.2966708

• Journal Article Type: Article
• Acceptance Date: Dec 23, 2019
• Online Publication Date: Jan 15, 2020
• Publication Date: 2020-10
• Deposit Date: Apr 27, 2021
• Journal: IEEE Transactions on Industrial Informatics
• Print ISSN: 1551-3203
• Electronic ISSN: 1941-0050
• Publisher: Institute of Electrical and Electronics Engineers
• Volume: 16
• Issue: 10
• Pages: 6252 - 6262
• DOI: https://doi.org/10.1109/tii.2020.2966708
• Public URL: https://durham-repository.worktribe.com/output/1249336