SURFmap: A network monitoring tool based on the Google Maps API

Hofstede, Rick; Fioreze, Tiago

doi:10.1109/inm.2009.5188876

Cited by 20 publications

(10 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1) Other fields: Hofstede and Fioreze [107] developed a monitoring tool, called SURFMap, which provides network traffic information at a geographical dimension by using the Google Maps API. SURFMap obtains the network information from NetFlow records.…”

Section: B State Of the Artmentioning

confidence: 99%

A Survey on Information Visualization for Network and Service Management

Guimaraes

Freitas

Sadre

et al. 2016

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

Network and service management encompasses a set of activities, methods, procedures, and tools whose ultimate goal is to guarantee the proper functioning of a networked system. Computational tools are essential to help network administrators in their daily tasks, and information visualization techniques are of great value in such context. In essence, information visualization techniques associated to visual analytics aim at facilitating the tasks of network administrators in the process of monitoring and maintaining the network health. This paper surveys the use of information visualization techniques as a tool to support the network and service management process. Through a Systematic Literature Review (SLR), we provide a historical overview and discuss the current state of the art in the field. We present a classification of 285 articles and papers from 1985 to 2013, according to an information visualization taxonomy as well as a network and service management taxonomy. Finally, we point out future research directions and opportunities regarding the use of information visualization in network and service management.Taking into account the example mentioned above, [15] and [17] are examples of articles/papers that match with the research goal. Thus, they are stored and cataloged, and their references are verified. In the analysis of the references of [15], for example, we found the work of Koike et al. "Visualizing cyber attacks using IP matrix" [19]. On the other hand, [16] is an example of a work that was discarded after the analysis of the abstract and keywords (i.e., the second step of filtering).Once finished the search process, a set of 374 articles and papers remained selected. These publications are from a time interval ranging from 1985 to 2013.

show abstract

Section: B State Of the Artmentioning

confidence: 99%

A Survey on Information Visualization for Network and Service Management

Guimaraes

Freitas

Sadre

et al. 2016

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

show abstract

“…Another modular approach to flow analysis applications is the plugin framework provided by NfSen (NetFlow Sensor) [13]. This has been used by SURFmap [14,15], for example. NfSen supports plugins for raw data processing, as well as data visualization.…”

Section: Related Workmentioning

confidence: 99%

SSHCure: A Flow-Based SSH Intrusion Detection System

Hellemons

Hendriks

Hofstede

et al. 2012

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

SSH attacks are a main area of concern for network managers, due to the danger associated with a successful compromise. Detecting these attacks, and possibly compromised victims, is therefore a crucial activity. Most existing network intrusion detection systems designed for this purpose rely on the inspection of individual packets and, hence, do not scale to today's high-speed networks. To overcome this issue, this paper proposes SSHCure, a flow-based intrusion detection system for SSH attacks. It employs an efficient algorithm for the real-time detection of ongoing attacks and allows identification of compromised attack targets. A prototype implementation of the algorithm, including a graphical user interface, is implemented as a plugin for the popular NfSen monitoring tool. Finally, the detection performance of the system is validated with empirical traffic data.

show abstract

“…Figure 4 shows worldwide attempts to establish a connection to monitored BACS network. We use SURFmap [19], a network monitoring tool based on the Google Maps API, to visualize IP connections.…”

Section: Access Controlmentioning

confidence: 99%

Flow-Based Security Issue Detection in Building Automation and Control Networks

Čeleda

Krejčí

Krmíček

2012

Information and Communication Technologies

View full text Add to dashboard Cite

Abstract. The interconnection of building automation and control system networks to public networks has exposed them to a wide range of security problems. This paper provides an overview of the flow data usability to detect security issue in these networks. The flow-based monitoring inside automation and control networks is a novel approach. In this paper, we describe several use cases in which flow monitoring provides information on network activities in building automation and control systems. We demonstrate a detection of Telnet brute force attacks, access control validation and targeted attacks on building automation system network.

show abstract

SURFmap: A network monitoring tool based on the Google Maps API

Cited by 20 publications

References 2 publications

A Survey on Information Visualization for Network and Service Management

A Survey on Information Visualization for Network and Service Management

SSHCure: A Flow-Based SSH Intrusion Detection System

Flow-Based Security Issue Detection in Building Automation and Control Networks

Contact Info

Product

Resources

About