VISUALIZATION OF NETWORK TRAFFIC

Network security in today’s world is critical. System administrators must quickly perceive the security state of their networks, but they often have only text-based tools to work with. These tools often provide no overview that would help users grasp the big-picture.Network traffic visualization tools have successfully enabled security analysts to understand the nature of traffic present in a network. However these tools rely mainly on human expertise to discover anomalies in traffic and attack patterns.The visualization capability provided by Visualization tool allows an operator to assess the state of a large and complex network given an overall view of the entire network and filter/drill-down features with a friendly user interface that allows users to request more detailed information of interest such as specific protocol traffic flows.Visualization tool allows operators to detect and investigate anomalous internal and external network traffic. Visualization tool shows network events graphically. We model the network as a graph with hosts being nodes and traffic being flows on edges. We present a detailed description of Visualization tool functionality and demonstrate its application to traffic dynamics in order to monitor, discover, and investigate security-relevant events

Synergy: An Energy Monitoring and Visualization System

The key to becoming a more sustainable society is first learning to take responsibility for the role we play in energy consumption. Real-time energy usage gives energy consumers a sense of responsibility over what they can do to accomplish a much larger goal for the planet, and practically speaking, what they can do to lower the cost to their wallets. Synergy is an energy monitoring and visualization system that enables users to gather information about the energy consumption in a building – small or large – and display that data for the user in real-time. The gathered energy usage data is processed on the edge before being stored in the cloud. The two main benefits of edge processing are issuing electricity hazard warnings immediately and preserving user privacy. In addition to being a scalable solution that intended for use in individual households, commercial offices and city power grids, Synergy is open-source so that it can be implemented more widely. This paper contains a system overview as well as initial finding based on the data collected by Synergy before assessing the impact the system can have on society

Network Traffic Threat Detection and Reporting System Validation through UML

In today’s digital world, computer network security experts struggle to manage security issues effectively. Reporting the network data in graphical form helps the expert to take decision in more effective and efficient way. Visualizing the network traffic seamlessly is a big challenge but an integrated network traffic visualization approach can resolve such issues effectively. The work presented here focuses on structural, behavioral and architectural modeling of an Integrated Network Traffic Visualization System (INTVS) and validating  it through unified modeling language. The adopted modeling can accommodate the analysis and designing of INTVS effectively, which is demonstrated in this study. Keywords:  Network traffic visualization, Network Security, INTVS framework,  INTVS modeling

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

Designing an interactive visualization for intrusion detection systems with video game theory and technology

With an ever increasing number of attacks on networks that have an even more increasing amount of information being communicated across them, the old means of examining network data for intruders and malicious acts through text no longer works. Even with the help of filters and data aggregation there is too much for a person to read through and get a clear understanding of what is happen across a network, causing security officers to many times miss intrusions. With an overwhelming amount of false alerts from incorrectly setup Intrusion Detection Systems and not enough time to sift through them all, a new means of displaying and interacting with the network data presented by intrusion detection system is needed. That is why there has been an increase in research about how to create visualizations for networks that will allow someone to better understand what is happening across a network. Using previous research as well as a study of the theory and architecture used by the video game industry on interactive environments, it is possible to create an intuitive interactive visual environment of network data that will help network administrators more effectively understand their networks and where potential threats may lurk. Therefore, this proposed design attempts to help solve the problem of network communication comprehension