NICOP - Towards Efficient and Private Pattern Matching for Middlebox Applications

Abstract

Towards Efficient and Private Pattern Matching for Middlebox Applications:The research goal is to develop a high-speed pattern matching algorithm that works well in services commonly inspecting network traffic to detect malicious patterns. Lately, PI s pattern matching work got accepted to USENIX NSDI, one of the top conferences in networking and systems. It was one of the very well received papers in part because it made significant advancement in a well-trodden area. As many security solutions are being deployed in the cloud (e.g., NFV) today and cost-effectiveness and scalability are becoming major concerns. The PI plans to address these challenges. Year 1: Identify the tradeoff and challenges of existing algorithms for pattern matching and design ways to automatically adapt the parameter settings depending on the expected workload. Year 2: Investigate rule (pattern) scalability and minimize footprint of small memory Dr. Mario Serna, AOARD is very interested in this research and wants to confound it.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 23, 2016
Source ID
N629091612239

Entities

People

  • Dongsu Han

Organizations

  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computer Networking
  • Research Science/Academic Research