A novel anomaly detection approach based on data field

被引：1
|
作者：
Yang, Hong-Yu [1 ]
Xie, Li-Xia [1 ]
Xie, Feng [2 ]
机构：
[1] Civil Aviat Univ China, Sch Comp Sci, Tianjin 300300, Peoples R China
[2] China Informat Technol Secur Certificat Ctr, Beijing 100083, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
基金：
中国国家自然科学基金;
关键词：
anomaly detection; data field; influence; classification; data set;
D O I：
10.1109/ICMLC.2008.4620569
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new approach to detecting attack activities. In this method, network connections were transformed into data points in the predefined feature space. The influence function was designed to quantify the influence of an object and, further, the data field was divided into positive field and negative Field according to the source point's category. To perform classification, all the labeled training samples were regarded as source points and a data field was built in the feature space. The influence felt by given testing point in the data field was calculated and its class was judged according to the sign and magnitude of the influence in detecting process. Experimental results demonstrate that our approach has good detection performance.
引用
收藏
页码：1105 / +
页数：3
相关论文
共 50 条
  • [21] A Data Mining based Approach for Electric Motor Anomaly Detection Applied on Vibration Data
    Egaji, Oche A.
    Ekwevugbe, Tobore
    Griffiths, Mark
    PROCEEDINGS OF THE 2020 FOURTH WORLD CONFERENCE ON SMART TRENDS IN SYSTEMS, SECURITY AND SUSTAINABILITY (WORLDS4 2020), 2020, : 330 - 334
  • [22] Data mining approach to shipping route characterization and anomaly detection based on MS data
    Rong, H.
    Teixeira, A. P.
    Guedes Soares, C.
    OCEAN ENGINEERING, 2020, 198
  • [23] Anomaly Detection in Roads with a Data Mining Approach
    Silva, Nuno
    Soares, Joao
    Shah, Vaibhav
    Santos, Maribel Yasmina
    Rodrigues, Helena
    CENTERIS 2017 - INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS / PROJMAN 2017 - INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT / HCIST 2017 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERI, 2017, 121 : 415 - 422
  • [24] Anomaly detection based on performance data
    Gokhale, SS
    Lu, JJ
    Proceedings from the Sixth Annual IEEE Systems, Man and Cybernetics Information Assurance Workshop, 2005, : 444 - 445
  • [25] A Novel Unsupervised Anomaly Detection Approach for Intrusion Detection System
    Chen, Weiwei
    Kong, Fangang
    Mei, Feng
    Yuan, Guiqin
    Li, Bo
    2017 IEEE 3RD INTERNATIONAL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY, IEEE 3RD INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING, (HPSC) AND 2ND IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS), 2017, : 69 - 73
  • [26] A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks
    Fu, Jiangpeng
    Fan, Wentao
    Bouguila, Nizar
    9TH INTERNATIONAL SYMPOSIUM ON SIGNAL, IMAGE, VIDEO AND COMMUNICATIONS (ISIVC 2018), 2018, : 179 - 184
  • [27] A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing
    Kim, Tae-yong
    Lee, Jieun
    Gong, Seokhyun
    Lim, Jaehoon
    Kim, Dowan
    Jeong, Jongpil
    MACHINES, 2025, 13 (01)
  • [28] A novel anomaly detection approach based on clustering and decision-level fusion
    Zhong, Shengwei
    Zhang, Ye
    IMAGING SPECTROMETRY XX, 2015, 9611
  • [29] ITran: A novel transformer-based approach for industrial anomaly detection and localization
    Cai, Xiangyu
    Xiao, Ruliang
    Zeng, Zhixia
    Gong, Ping
    Ni, Youcong
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 125
  • [30] A novel data mining method for network anomaly detection based on transductive scheme
    Li, Yang
    Fang, Binxing
    Guo, Li
    ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 2007, 4491 : 1286 - +
12345