Applications of neural networks in network intrusion detection

被引：0
|
作者：
Lazarevic, Aleksandar [1 ]
Pokrajac, Dragoljub [2 ]
Nikolic, Jelena [3 ]
机构：
[1] United Technol Res Ctr, 411 Silver Lane, E Hartford, CT 06108 USA
[2] Delaware State Univ, Appl Math Res Ctr, Dover 19904, DE USA
[3] Univ Nis, Fac Elect Engn, Nish 18000, Serbia
来源：
NEUREL 2006: EIGHT SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS | 2006年
基金：
美国国家科学基金会;
关键词：
neural networks; rare class; network intrusion detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we discuss the applications of multilayer perceptrons for classification of network intrusion detection data characterized by skewed class distributions. We compare several methods for learning from such skewed distributions by manipulating data records. The investigated methods include oversampling, undersampling and generating artificial data records using SMOTE technique. The presented methods are tested on KDDCup99 network intrusion dataset and compared using various classification performance metrics. In addition, the influence of decision margin on recall and misclassification rates is also examined.
引用
收藏
页码：59 / +
页数：3
相关论文
共 50 条
  • [21] Neural Networks for Intrusion Detection Systems
    Beqiri, Elidon
    [J]. GLOBAL SECURITY, SAFETY, AND SUSTAINABILITY, PROCEEDINGS, 2009, 45 : 156 - 165
  • [22] Agents and Neural Networks for Intrusion Detection
    Herrero, Alvaro
    Corchado, Emilio
    [J]. PROCEEDINGS OF THE INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS CISIS 2008, 2009, 53 : 155 - 162
  • [23] Neural network ensembles for intrusion detection
    Golovko, Vladimir
    Kachurka, Pavel
    Vaitsekhovich, Leanid
    [J]. IDAACS 2007: PROCEEDINGS OF THE 4TH IEEE WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS, 2007, : 578 - 583
  • [24] Applying neural network to intrusion detection
    Zhou, Rigui
    [J]. 2007 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS, 2007, : 273 - 276
  • [25] A neural model for network intrusion detection
    Najarian, K
    Sun, XL
    Ahn, GJ
    Hadzikadic, M
    [J]. 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XII, PROCEEDINGS: INDUSTRIAL SYSTEMS AND ENGINEERING II, 2002, : 554 - 559
  • [26] Intrusion Detection System based on Network Traffic using Deep Neural Networks
    Chamou, Dimitra
    Toupas, Petros
    Ketzaki, Eleni
    Papadopoulos, Stavros
    Giannoutakis, Konstantinos M.
    Drosou, Anastasios
    Tzovaras, Dimitrios
    [J]. 2019 IEEE 24TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (IEEE CAMAD), 2019,
  • [27] Intrusion Detection System with Wavelet and Neural Artifical Network Approach for Networks Computers
    Ferreira, E. T.
    Carrijo, G. A.
    de Oliveira, R.
    Araujo, N. V. S.
    [J]. IEEE LATIN AMERICA TRANSACTIONS, 2011, 9 (05) : 832 - 837
  • [28] DDoS Intrusion Detection Model for IoT Networks using Backpropagation Neural Network
    Almotiri, Jasem
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (06) : 694 - 704
  • [29] A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks
    Wu, Kehe
    Chen, Zuge
    Li, Wei
    [J]. IEEE ACCESS, 2018, 6 : 50850 - 50859
  • [30] Deep Recurrent Neural Network for Intrusion Detection in SDN-based Networks
    Tang, Tuan A.
    Mhamdi, Lotfi
    McLernon, Des
    Zaidi, Syed Ali Raza
    Ghogho, Mounir
    [J]. 2018 4TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION AND WORKSHOPS (NETSOFT), 2018, : 202 - 206
12345