Network anomaly detection research: a survey

Kurniabudi Kurniabudi (STIKOM Dinamika Bangsa)
Benni Purnama (STIKOM Dinamika Bangsa)
Sharipuddin Sharipuddin (STIKOM Dinamika Bangsa)
Darmawijoyo Darmawijoyo (Universitas Sriwijaya)
Deris Stiawan (Universitas Sriwijaya)
Samsuryadi Samsuryadi (Universitas Sriwijaya)
Ahmad Heryanto (Universitas Sriwijaya)
Rahmat Budiarto (Albaha University)

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 7, No 1: March 2019

Data analysis to identifying attacks/anomalies is a crucial task in anomaly detection and network anomaly detection itself is an important issue in network security. Researchers have developed methods and algorithms for the improvement of the anomaly detection system. At the same time, survey papers on anomaly detection researches are available. Nevertheless, this paper attempts to analyze futher and to provide alternative taxonomy on anomaly detection researches focusing on methods, types of anomalies, data repositories, outlier identity and the most used data type. In addition, this paper summarizes information on application network categories of the existing studies.