| Title | Poster: Novel Opportunities in Design of Efficient Deep Packet Inspection Engines |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Chekashev, A., Demianiuk, V., Kogan, K. |
| Conference Name | 2020 IEEE 28th International Conference on Network Protocols (ICNP) |
| Date Published | oct |
| Keywords | Automata, deep packet inspection, Engines, Inspection, Memory management, Pathology, Pattern matching, pubcrawl, Resiliency, Scalability, security |
| Abstract | Deep Packet Inspection (DPI) is an essential building block implementing various services on data plane [5]. Usually, DPI engines are centered around efficient implementation of regular expressions both from the required memory and lookup time perspectives. In this paper, we explore and generalize original approaches used for packet classifiers [7] to regular expressions. Our preliminary results establish a promising direction for the efficient implementation of DPI engines. |
| DOI | 10.1109/ICNP49622.2020.9259400 |
| Citation Key | chekashev_poster_2020 |
Poster: Novel Opportunities in Design of Efficient Deep Packet Inspection Engines