ANALISIS VISUALISASI DATA KEAMANAN JARINGAN

Publication Type:

Journal Article

Authors:

Tati Ernawati

Source:

Jurnal Teknologi, Volume 5, Number 1 (2012)

Keywords:

anomalous, data visualization, text/numeric

Abstract:

Network security monitoring activity would be a big problem if the data processed are too much while the analytical tool that is used still manually. The issues raised about the network security based on the concept that a computer connected to a network is vulnerable to be attacked, otherwise the majority of users do not have a security background to identify malicious activity. Many users often negligent in monitoring the large amount of traffic in a complex network. This occurance was only realized when a computer or system is infected by a virus or suspicious malware.
This paper describes the analysis of network security data visualization. The methodology used is a case study. An analysis was performed on text/numeric and visual-based network monitoring. The analysis showed the using of visualized observations could examine network traffic and detect anomalies faster than the manual way (based on text/numeric).

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