Campus Network Security Program Based on Snort Network Security Intrusion Detection System

被引:0
作者
Ling, Jia [1 ]
机构
[1] Armed Police Acad, Langfang, Peoples R China
来源
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词
Network Security; Intrusion Detection System; Campus Network; DOS;
D O I
10.4028/www.scientific.net/AMR.433-440.3235
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper studies the security problems of campus network and summarizes the current on the current security risks and threats that campus network faces, focusing on analysis of attack-defense strategies on DOS network layer, proposing the security program of campus network which uses firewall as well as network security intrusion detection system snort. This paper analyzes the functional advantages of the program and presents in details the setup deployment and collocation methods of network security intrusion detection system based on snort in the campus network, and its application results are also summarized.
引用
收藏
页码:3235 / 3240
页数:6
相关论文
共 50 条
  • [41] Ensuring network security with a robust intrusion detection system using ensemble-based machine learning
    Hossain, Md Alamgir
    Islam, Saiful
    ARRAY, 2023, 19
  • [42] Security analysis of information in campus network based on improved back-propagation neural network
    Zhao X.H.
    Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), 2021, 80 (02): : 35 - 46
  • [43] Improving Intrusion Detection System Based on Snort Rules for Network Probe Attacks Detection with Association Rules Technique of Data Mining
    Khamphakdee, Nattawat
    Benjamas, Nunnapus
    Saiyod, Saiyan
    JOURNAL OF ICT RESEARCH AND APPLICATIONS, 2015, 8 (03) : 234 - 250
  • [44] Design and implementation of server security alarm system in campus network
    Pang, Bin
    Li, Hua
    Wang, You-Yi
    Yan, Shuai
    Yang, Zhi-He
    Tongxin Xuebao/Journal on Communications, 2014, 35 : 10 - 13
  • [45] Research into the Network Security Model Blended of Data Stream Mining and Intrusion Detection System
    Zhu Lin
    Zhu Can-Shi
    PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 496 - 499
  • [46] Security Snort Early Warning Assessment Program of Hazardous Sources
    Zhang, Shuhua
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT SCIENCE (ITMS 2015), 2015, 34 : 1931 - 1935
  • [47] Secure Campus Network System with Automatic Isolation of High Security Risk Device
    Mishima, Kazuhiro
    Sakurada, Takeshi
    Hagiwara, Yoichi
    Tsujisawa, Takahiko
    PROCEEDINGS OF THE 2018 ACM SIGUCCS ANNUAL CONFERENCE (SIGUCCS '18), 2018, : 107 - 110
  • [48] Red fox optimizer based feature selection with optimal deep learning based Intrusion detection for network security
    Sunkara S.
    Suresh T.
    Sathiyasuntharam V.
    International Journal of Information Technology, 2023, 15 (8) : 4437 - 4447
  • [49] Advancing Network Security with AI: SVM-Based Deep Learning for Intrusion Detection
    Abuali, Khadija M.
    Nissirat, Liyth
    Al-Samawi, Aida
    SENSORS, 2023, 23 (21)
  • [50] A Model of Intrusion Detection Based on Data Mining in Campus Network
    Qi Bei
    Dong Yun-feng
    NATIONAL CONFERENCE OF HIGHER VOCATIONAL AND TECHNICAL EDUCATION ON COMPUTER INFORMATION, 2010, : 317 - +