A Survey of Network Traffic Visualization in Detecting Network Security Threats

Autor:	Junpeng Liu, Lingjing Yu, Yong Sun, Liu Xiaomei, Liang Fang
Rok vydání:	2015
Předmět:	Attack model Network security business.industry Computer science Network Access Control Dimension (data warehouse) Layer (object-oriented design) business Computer security computer.software_genre computer Visualization Computer network
Zdroj:	Trustworthy Computing and Services ISBN: 9783662474006 ISCTCS
Popis:	Analyzing network traffic to detect network security threats has drawn attentions from security researchers for decades. However, the new characteristics of network traffic, such as explosive growth, more diverse attack types and higher dimension, have brought us new challenges. Because of these challenges, traditional detecting technologies like log analysis cannot directly identify threats from traffic in time. Visualization can straightly and quickly display multi-dimensional information of large network traffic. It can be our powerful weapon to meet the challenges. In this paper, we classify the network traffic into four layers. According to different layer, we systematically survey several well-known network traffic visualization systems. Then we analyze the advantages and disadvantages for each system and give out the comparisons. We also introduce the future works for network traffic visualization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e216a567fdb3fbb9b033373e425b8b9f https://doi.org/10.1007/978-3-662-47401-3_12 Zobrazit plný text záznamu