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A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection.

Chun-Liang Lee¹, Yi-Shan Lin², Yaw-Chung Chen²

¹Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan.

|October 6, 2015

Summary

This summary is machine-generated.

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A new hybrid algorithm (HPMA) speeds up network intrusion detection by combining central processing units (CPUs) and graphics processing units (GPUs). This approach enhances security by accelerating deep packet inspection and improving energy efficiency.

Area of Science:

Computer Science
Network Security
High-Performance Computing

Background:

Deep packet inspection is crucial for network security due to increasing data transfer volumes.
Traditional CPU-based intrusion detection systems struggle with the speed demands of modern networks.
Graphics processing units (GPUs) offer parallel processing power but face efficiency limitations due to transmission bottlenecks.

Purpose of the Study:

To propose a novel hybrid algorithm for efficient deep packet inspection.
To enhance the speed and energy efficiency of network intrusion detection systems.
To address the limitations of CPU-only and GPU-only approaches in pattern matching.

Main Methods:

Developed a hybrid CPU/GPU pattern-matching algorithm (HPMA).

Related Experiment Videos

Implemented a pre-filtering mechanism on the CPU to manage packet inspection workload.

Utilized GPUs for intensive pattern matching on pre-filtered packets.

Evaluated HPMA performance against traditional CPU and GPU algorithms.

Main Results:

HPMA demonstrated significantly faster matching speeds compared to AC-CPU (3.4x) and AC-GPU (2.7x) for random payload traffic.
The hybrid approach achieved superior energy efficiency over existing methods.
Effective workload distribution between CPU and GPU was confirmed.

Conclusions:

The proposed HPMA offers a more efficient and faster solution for deep packet inspection.
Hybrid CPU/GPU architectures are a promising direction for high-speed network security.
HPMA provides a scalable and cost-effective method for network intrusion detection.