Date of Award

6-15-2021

Document Type

Thesis - SCU Access Only

Publisher

Santa Clara : Santa Clara University, 2021.

Department

Computer Science and Engineering

First Advisor

Yuhong Liu

Second Advisor

Behnam Dezfouli

Abstract

In network security operations, real-time analysis is highly intensive and often requires dedicated hardware. Typically, raw network data must be transferred from low-level switching mechanisms to separate processes in order to extract more useful information. Thus, truly responsive security analysis is gate-kept to commercial and research settings capable of according the proper infrastructure. We propose HUSK, a system that moves processing technology to the kernel level, thereby greatly speeding up real-time network analysis and lowering the barrier of entry for network analysis.

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