A survey on anomalies detection techniques and measurement methods

Gopinath Muruti, Fiza Abdul Rahim, Zul Azri Bin Ibrahim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dynamic research area has been applied and researched on anomaly detection in various domains. And various techniques have been proposed to identify unexpected items or events in datasets which differ from the norm. This review tries to provide a basic and structured overview of the anomaly detection techniques. Also, this review discusses major anomaly detection techniques using statistical based and machine learning based techniques. The outcome of this review may facilitate a better understanding of the different techniques in which research has been done on this topic by comparing the pros and cons of the identified techniques. In addition, this review also discusses on the measurement methods used by other researchers in validating their anomalies detection techniques.

Original languageEnglish
Title of host publication2018 IEEE Conference on Application, Information and Network Security, AINS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-86
Number of pages6
ISBN (Electronic)9781538669259
DOIs
Publication statusPublished - 31 Jan 2019
Event2018 IEEE Conference on Application, Information and Network Security, AINS 2018 - Langkawi, Kedah, Malaysia
Duration: 21 Nov 201822 Nov 2018

Publication series

Name2018 IEEE Conference on Application, Information and Network Security, AINS 2018

Conference

Conference2018 IEEE Conference on Application, Information and Network Security, AINS 2018
CountryMalaysia
CityLangkawi, Kedah
Period21/11/1822/11/18

Fingerprint

Learning systems

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

Cite this

Muruti, G., Abdul Rahim, F., & Bin Ibrahim, Z. A. (2019). A survey on anomalies detection techniques and measurement methods. In 2018 IEEE Conference on Application, Information and Network Security, AINS 2018 (pp. 81-86). [8631436] (2018 IEEE Conference on Application, Information and Network Security, AINS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISA.2018.8631436
Muruti, Gopinath ; Abdul Rahim, Fiza ; Bin Ibrahim, Zul Azri. / A survey on anomalies detection techniques and measurement methods. 2018 IEEE Conference on Application, Information and Network Security, AINS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 81-86 (2018 IEEE Conference on Application, Information and Network Security, AINS 2018).
@inproceedings{dcc57e7cd66f42f4a04794626a2bd229,
title = "A survey on anomalies detection techniques and measurement methods",
abstract = "Dynamic research area has been applied and researched on anomaly detection in various domains. And various techniques have been proposed to identify unexpected items or events in datasets which differ from the norm. This review tries to provide a basic and structured overview of the anomaly detection techniques. Also, this review discusses major anomaly detection techniques using statistical based and machine learning based techniques. The outcome of this review may facilitate a better understanding of the different techniques in which research has been done on this topic by comparing the pros and cons of the identified techniques. In addition, this review also discusses on the measurement methods used by other researchers in validating their anomalies detection techniques.",
author = "Gopinath Muruti and {Abdul Rahim}, Fiza and {Bin Ibrahim}, {Zul Azri}",
year = "2019",
month = "1",
day = "31",
doi = "10.1109/IISA.2018.8631436",
language = "English",
series = "2018 IEEE Conference on Application, Information and Network Security, AINS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "81--86",
booktitle = "2018 IEEE Conference on Application, Information and Network Security, AINS 2018",
address = "United States",

}

Muruti, G, Abdul Rahim, F & Bin Ibrahim, ZA 2019, A survey on anomalies detection techniques and measurement methods. in 2018 IEEE Conference on Application, Information and Network Security, AINS 2018., 8631436, 2018 IEEE Conference on Application, Information and Network Security, AINS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 81-86, 2018 IEEE Conference on Application, Information and Network Security, AINS 2018, Langkawi, Kedah, Malaysia, 21/11/18. https://doi.org/10.1109/IISA.2018.8631436

A survey on anomalies detection techniques and measurement methods. / Muruti, Gopinath; Abdul Rahim, Fiza; Bin Ibrahim, Zul Azri.

2018 IEEE Conference on Application, Information and Network Security, AINS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 81-86 8631436 (2018 IEEE Conference on Application, Information and Network Security, AINS 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A survey on anomalies detection techniques and measurement methods

AU - Muruti, Gopinath

AU - Abdul Rahim, Fiza

AU - Bin Ibrahim, Zul Azri

PY - 2019/1/31

Y1 - 2019/1/31

N2 - Dynamic research area has been applied and researched on anomaly detection in various domains. And various techniques have been proposed to identify unexpected items or events in datasets which differ from the norm. This review tries to provide a basic and structured overview of the anomaly detection techniques. Also, this review discusses major anomaly detection techniques using statistical based and machine learning based techniques. The outcome of this review may facilitate a better understanding of the different techniques in which research has been done on this topic by comparing the pros and cons of the identified techniques. In addition, this review also discusses on the measurement methods used by other researchers in validating their anomalies detection techniques.

AB - Dynamic research area has been applied and researched on anomaly detection in various domains. And various techniques have been proposed to identify unexpected items or events in datasets which differ from the norm. This review tries to provide a basic and structured overview of the anomaly detection techniques. Also, this review discusses major anomaly detection techniques using statistical based and machine learning based techniques. The outcome of this review may facilitate a better understanding of the different techniques in which research has been done on this topic by comparing the pros and cons of the identified techniques. In addition, this review also discusses on the measurement methods used by other researchers in validating their anomalies detection techniques.

UR - http://www.scopus.com/inward/record.url?scp=85062853147&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062853147&partnerID=8YFLogxK

U2 - 10.1109/IISA.2018.8631436

DO - 10.1109/IISA.2018.8631436

M3 - Conference contribution

AN - SCOPUS:85062853147

T3 - 2018 IEEE Conference on Application, Information and Network Security, AINS 2018

SP - 81

EP - 86

BT - 2018 IEEE Conference on Application, Information and Network Security, AINS 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Muruti G, Abdul Rahim F, Bin Ibrahim ZA. A survey on anomalies detection techniques and measurement methods. In 2018 IEEE Conference on Application, Information and Network Security, AINS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 81-86. 8631436. (2018 IEEE Conference on Application, Information and Network Security, AINS 2018). https://doi.org/10.1109/IISA.2018.8631436