Traffic scheduling for deep packet inspection in software-defined networks

被引:14
|
作者
Huang, Huawei [1 ]
Li, Peng [1 ]
Guo, Song [1 ]
机构
[1] Univ Aizu, Dept Comp Sci & Engn, Aizu Wakamatsu, Fukushima, Japan
来源
关键词
deep packet inspection; software-defined network; traffic scheduling;
D O I
10.1002/cpe.3967
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Deep packet inspection (DPI) is important for network security. In this paper, we consider a software-defined network where several DPI proxy nodes are available for serving flows from ingress switches. These DPI proxy nodes can be implemented in either software or hardware. We study an integrated proxy allocation and routing determining problem with the objective of minimizing the total delay of flows from ingress switches to DPI proxies. This problem is formulated as an integer linear programming problem that is NP-hard in general. To solve this problem, we design a 2-phase algorithm that can quickly select proxy and find routing paths for incoming flows. Finally, extensive simulations are conducted to evaluate the performance of our proposed algorithm. Some useful parameter setting insights are obtained.
引用
下载
收藏
页数:8
相关论文
共 50 条
  • [11] XSSMitigate: Deep Packet Inspection based XSS Attack Quarantine in Software Defined Networks
    Hubballi, Neminath
    Singh, Yogendra
    Garg, Dipin
    2023 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, ICCE, 2023,
  • [13] Online Multicast Traffic Engineering for Software-Defined Networks
    Chiang, Sheng-Hao
    Kuo, Jian-Jhih
    Shen, Shan-Hsiang
    Yang, De-Nian
    Chen, Wen-Tsuen
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2018), 2018, : 414 - 422
  • [14] Comparative analysis of traffic and congestion in software-defined networks
    Parihar A.S.
    Sinha K.
    Singh P.
    Cherwoo S.
    Lecture Notes on Data Engineering and Communications Technologies, 2021, 66 : 907 - 917
  • [15] Traffic Engineering for Software-Defined Radio Access Networks
    Farmanbar, Hamid
    Zhang, Hang
    2014 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS), 2014,
  • [16] Fast Failover for Control Traffic in Software-defined Networks
    Beheshti, Neda
    Zhang, Ying
    2012 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2012, : 2665 - 2670
  • [17] Packet Injection Attack and Its Defense in Software-Defined Networks
    Deng, Shuhua
    Gao, Xing
    Lu, Zebin
    Gao, Xieping
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 13 (03) : 695 - 705
  • [18] Packet Injection Exploiting Attack and Mitigation in Software-Defined Networks
    Li, Jishuai
    Qin, Sujuan
    Tu, Tengfei
    Zhang, Hua
    Li, Yongsheng
    APPLIED SCIENCES-BASEL, 2022, 12 (03):
  • [19] Deep Reinforcement Learning-Based Traffic Sampling for Multiple Traffic Analyzers on Software-Defined Networks
    Kim, Sunghwan
    Yoon, Seunghyun
    Lim, Hyuk
    IEEE ACCESS, 2021, 9 : 47815 - 47827
  • [20] Deep learning for the security of software-defined networks: a review
    Taheri, Roya
    Ahmed, Habib
    Arslan, Engin
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2023, 26 (05): : 3089 - 3112