# Network Packet Processing and Optimization

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/network-packet-processing-and-optimization/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on algorithms and architectures for packet classification, including deep packet inspection, content-addressable memory (CAM), firewall configuration, regular expression matching, intrusion detection, network security policies, TCAM architectures, pattern matching, and high-speed networks. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t12326 |
| Works | 14 |

## Topic papers all

- [Coolcams: power-efficient TCAMs for forwarding engines](https://scholariq.org/papers/coolcams-power-efficient-tcams-for-forwarding-engines/)
- [A Byte-level CNN Method to Detect DNS Tunnels](https://scholariq.org/papers/a-byte-level-cnn-method-to-detect-dns-tunnels/)
- [A Two-Level Ensemble Learning Framework for Enhancing Network Intrusion Detection Systems](https://scholariq.org/papers/a-two-level-ensemble-learning-framework-for-enhancing-network-intrusion/)
- [SODA: Software Defined FPGA based Accelerators for Big Data](https://scholariq.org/papers/soda-software-defined-fpga-based-accelerators-for-big-data/)
- [Emerging Intuitionistic Fuzzy Classifiers for Intrusion Detection System](https://scholariq.org/papers/emerging-intuitionistic-fuzzy-classifiers-for-intrusion-detection-system/)
- [Analysis of NSL KDD Dataset Using Classification Algorithms for Intrusion Detection System](https://scholariq.org/papers/analysis-of-nsl-kdd-dataset-using-classification-algorithms-for-intrusion/)
- [Median filter using open multiprocessing in agriculture](https://scholariq.org/papers/median-filter-using-open-multiprocessing-in-agriculture/)
- [Classifying Network Traffic Using DPI And DFI](https://scholariq.org/papers/classifying-network-traffic-using-dpi-and-dfi/)
- [Using Multi-core Processor to Support Network Parallel Image Processing Applications](https://scholariq.org/papers/using-multi-core-processor-to-support-network-parallel-image-processing/)
- [DMA SRAM TEGにより解析したSRAMのスタティックノイズマージンにおけるDIBLばらつきの影響(IEDM特集(先端CMOSデバイス・プロセス技術))](https://scholariq.org/papers/dma-sram-teg-sram-dibl-iedm-cmos/)
- [hp32nmノード以降に向けた周辺回路がBulk Planar FET及びメモリセルがBulk-FinFETで構成されたSRAM技術について(VLSI回路,デバイス技術(高速,低電圧,低消費電力))](https://scholariq.org/papers/hp32nm-bulk-planar-fet-bulk-finfet-sram-vlsi/)
- [THREAT DETECTION IN FIREWALL LOGS USING FEATURE SELECTION AND ENSEMBLE LEARNING](https://scholariq.org/papers/threat-detection-in-firewall-logs-using-feature-selection-and-ensemble-learning/)
- [SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks](https://scholariq.org/papers/sdnguardstack-an-explainable-ensemble-learning-framework-for-high-accuracy/)
- [SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks](https://scholariq.org/papers/sdnguardstack-an-explainable-ensemble-learning-framework-for-high-accuracy-2/)

## Topic primary papers

- [Coolcams: power-efficient TCAMs for forwarding engines](https://scholariq.org/papers/coolcams-power-efficient-tcams-for-forwarding-engines/)
- [Median filter using open multiprocessing in agriculture](https://scholariq.org/papers/median-filter-using-open-multiprocessing-in-agriculture/)
- [Using Multi-core Processor to Support Network Parallel Image Processing Applications](https://scholariq.org/papers/using-multi-core-processor-to-support-network-parallel-image-processing/)
- [hp32nmノード以降に向けた周辺回路がBulk Planar FET及びメモリセルがBulk-FinFETで構成されたSRAM技術について(VLSI回路,デバイス技術(高速,低電圧,低消費電力))](https://scholariq.org/papers/hp32nm-bulk-planar-fet-bulk-finfet-sram-vlsi/)
- [THREAT DETECTION IN FIREWALL LOGS USING FEATURE SELECTION AND ENSEMBLE LEARNING](https://scholariq.org/papers/threat-detection-in-firewall-logs-using-feature-selection-and-ensemble-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.