Design of Hybrid Network Anomalies Detection System (H-NADS) Using IP Gray Space Analysis

Autor:	Yogendra Kumar JAIN, Sandip S. PATIL
Jazyk:	English<br />Romanian; Moldavian; Moldovan
Rok vydání:	2009
Předmět:	Network Security Anomaly Detection Suspicious Behaviors Detection Computer engineering. Computer hardware TK7885-7895 Bibliography. Library science. Information resources
Zdroj:	Informatică economică, Vol 13, Iss 2, Pp 110-119 (2009)
Druh dokumentu:	article
ISSN:	1453-1305 1842-8088
Popis:	In Network Security, there is a major issue to secure the public or private network from abnormal users. It is because each network is made up of users, services and computers with a specific behavior that is also called as heterogeneous system. To detect abnormal users, anomaly detection system (ADS) is used. In this paper, we present a novel and hybrid Anomaly Detection System with the uses of IP gray space analysis and dominant scanning port identification heuristics used to detect various anomalous users with their potential behaviors. This methodology is the combination of both statistical and rule based anomaly detection which detects five types of anomalies with their three types of potential behaviors and generates respective alarm messages to GUI.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/765cff0376f2436c9e001a4d1e6afae7 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF