A survey of traffic classification in software defined networks

J Yan, J Yuan - 2018 1st IEEE International Conference on Hot …, 2018 - ieeexplore.ieee.org
Traffic classification has been widely used in network management, service measurements,
network design, security monitoring and advertising. Software defined networks (SDN) is an …

Machine-Learning-Based Traffic Classification in Software-Defined Networks

RH Serag, MS Abdalzaher, HAEA Elsayed, M Sobh… - Electronics, 2024 - mdpi.com
Many research efforts have gone into upgrading antiquated communication network
infrastructures with better ones to support contemporary services and applications. Smart …

Machine learning empowered intelligent data center networking: A survey

B Li, T Wang, P Yang, M Chen, S Yu… - arXiv preprint arXiv …, 2022 - arxiv.org
To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …

Deep Packet Inspection at Scale: Search Optimization Through Locality-Sensitive Hashing

M Kapoor, S Krishnan, T Moyer - 2022 IEEE 21st International …, 2022 - ieeexplore.ieee.org
Deep packet inspection is a primary tool for security specialists, surveillance analysts, and
network engineers to lawfully intercept and analyze network traffic. In order to process this …

Machine learning empowered intelligent data center networking

T Wang, B Li, M Chen, S Yu - Machine Learning Empowered Intelligent …, 2022 - Springer
Abstract Machine learning has been widely studied and practiced in data center networks,
and a large number of achievements have been made. In this chapter, we will review …

Minimizing speculation overhead in a parallel recognizer for regular texts

A Borsotti, L Breveglieri, SC Reghizzi… - arXiv preprint arXiv …, 2024 - arxiv.org
Speculative data-parallel algorithms for language recognition have been widely
experimented for various types of FA (DFA and NFA) automata, often derived from regular …

[PDF][PDF] 基于距离比较的AC 自动机并行匹配算法

姜海洋, 李雪菲, 杨晔 - 电子与信息学报, 2022 - jeit.ac.cn
随着网络带宽的快速增长, 作为网络安全设备核心模块的多模式匹配(MPM)
算法面临严峻的性能挑战. 该文提出一种高效的数据包分割和并行匹配算法 …

Data Mining and Deep Learning Systems for Network Traffic Classification and Characterization at Scale

M Kapoor - 2023 - search.proquest.com
The real, complex network environment consists of an ever-increasingly diverse and large
amount of data encapsulated in packets. Surveillance and monitoring of this traffic is a …

Regular expression implementation: a comprehensive review from software algorithms to hardware acceleration

C Sheng, S Zhang, Y Liu, H Liao - … International Conference on …, 2024 - spiedigitallibrary.org
With the rapid development of internet technology, cybersecurity faces an increasing
number of challenges, among which network intrusion detection systems are crucial. Due to …

Implementing BREeze-a High-Performance Regular Expression Library Using Code Generation with BuildIt

T Mitrovska - 2023 - dspace.mit.edu
Regular expression matching is a very common problem in software engineering, with
applications in text processing, text searching, data scraping, syntax highlighting, deep …