Parameterized Anomaly Detection System with Automatic Configuration

被引：0

作者：

Zarpelao, Bruno B. ^{[1
]}

Mendes, Leonardo S. ^{[1
]}

Proenca, Mario L., Jr. ^{[2
]}

Rodrigues, Joel J. P. C. ^{[3
]}

机构：

[1] Univ Estadual Campinas, UNICAMP, Sch Elect & Comp Engn, Campinas, SP, Brazil

[2] State Univ Londrina UEL, Comp Sci Dept, Londrina, Brazil

[3] Univ Beira Interior DI, Inst Telecomunicacoes, Covilha, Portugal

来源：

GLOBECOM 2009 - 2009 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-8 | 2009年

基金：

巴西圣保罗研究基金会;

关键词：

Alarms; Network management; SNMP; MIB-II;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work proposes a parameterized anomaly detection system, based on the method known as profile based. The analysis of network elements is performed in two levels: (i) analysis of Simple Network Management Protocol (SNMP) objects data using a hysteresis-based algorithm to detect behavior deviations; (ii) analysis of alerts generated in the first level using a dependency graph, which represents the relationships between the SNMP objects. The proposed system is also able to configure its own parameters automatically, aiming to meet the network administrator needs. Tests were performed in a real network environment and great results were obtained.

引用

页码：2224 / 2229

页数：6

共 50 条

[41] A Dataflow System for Anomaly Detection and Analysis
Bara, Andrei
Niu, Xinyu
Luk, Wayne
[J]. PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (FPT), 2014, : 276 - 279
[42] Anomaly Detection Monitoring System for Healthcare
Boloka, Tlou
Crafford, Gerrie
Mokuwe, Windy
Van Eden, Beatrice
[J]. 2021 SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE/ROBOTICS AND MECHATRONICS/PATTERN RECOGNITION ASSOCIATION OF SOUTH AFRICA (SAUPEC/ROBMECH/PRASA), 2021,
[43] Automatic anomaly detection in engineering diagrams using machine learning
Ho-Jin Shin
Ga-Young Lee
Chul-Jin Lee
[J]. Korean Journal of Chemical Engineering, 2023, 40 : 2612 - 2623
[44] An AIS Based Anomaly Detection System
Haripriya, P., V
Anju, J. S.
[J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC), 2017, : 708 - 711
[45] Behavioral Model Anomaly Detection in Automatic Identification Systems (AIS)
Coleman, Jacob
Kandah, Farah
Huber, Brennan
[J]. 2020 10TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2020, : 481 - 487
[46] Tracking down software bugs using automatic anomaly detection
Hangal, S
Lam, MS
[J]. ICSE 2002: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, 2002, : 291 - 301
[47] The Algorithm of Information System Anomaly Detection
Gu, Ming
[J]. 2013 3RD INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, COMMUNICATIONS AND NETWORKS (CECNET), 2013, : 653 - 657
[48] Towards automatic configuration of floorplans for Indoor Positioning System
Jaworski, Wojciech
Wilk, Pawel
Juszczak, Mateusz
Wysoczanska, Monika
Lee, Andrew YongGwon
[J]. 2019 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2019,
[49] Automatic Classification and Detection of Snort Configuration Anomalies - a Formal Approach
Saadaoui, Amina
Benmoussa, Hajar
Bouhoula, Adel
Abou EL Kalam, Anas
[J]. INTERNATIONAL JOINT CONFERENCE: CISIS'15 AND ICEUTE'15, 2015, 369 : 27 - 39
[50] System for Automatic Faces Detection
Benzaoui, Amir
Bourouba, Houcine
Boukrouche, Abdelhani
[J]. 2012 3RD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS, 2012, : 354 - 358

← 1 2 3 4 5 →