A survey of visualization techniques for network security. Felix wu, in proceedings of the ieee visualization 2003 conference, october 2024. Uncover hidden patterns of data and respond with countermeasures security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. Pdf visualization for big data security a case study. This is why professions like data scientist are booming and the desire for. Data visualization have been used for hundreds of years in scienti c research, as it allows humans to easily get a better insight into complex data they are studying. Eliminate this with data visualization, giving your teams the information they need to defeat cyber criminals. When data is presented as a summary table, specific values can be emphasized with different techniques. Tufts data lab introduction to data visualization techniques. Your project should address a concrete visualization problem and should propose a novel, creative solution. The creator of the visualization may influence the semantics of the visualization and the syntax of the elements of the visualization via color choices, positioning, and visual tricks. Jungwoo also covers network data collection techniques and tools, and machine learning and visualization to process network data and detect anomalies. Introduction to visualization for computer security 5 different applications of understanding hierarchical data, such as newsgroup activ ity, stock mark et performance, election results, and.
History of data visualization to understand current and future trends in the field of data visualization, it helps to begin with some historical context. Visual data mining is the process of discovering implicit but useful knowledge from large data sets using visualization techniques. Visualization techniques for internet routing data, soon tee teoh, kwanliu ma, and s. Preface this is not a book on information security assessment methodologies, neither is it on penetration testing techniques. You are free to use any graphics or charting tool you pleaseincluding drafting it by hand. Summary tables summary tables display data in simple, digestible ways. Pdf introduction to visualization for computer security. Visualization is the use of computer graphics to create visual images which aid in the understanding of complex, often massive representations of data. Greg conti, creator of the network and security visualization tool rumint, shows you how to graph and display network data using a variety of tools so that you can understand complex datasets at a glance. Youll soon understand how to harness and wield data, from collection and storage to. This careful guide explores two of the most powerful data analysis and visualization. Review check the data against your sources the wall street journal guide to information graphics, dona m. This guide will walk you through the most common charts and visualizations, help you choose the right presentation for your data, and give you practical design tips and tricks to make sure you avoid rookie mistakes. This allows him to recognize patterns of intrusive behaviour much more quickly than looking through raw data.
It is used as means to deliver visual reporting to users for the performance, operations or general statistics of an application, network, hardware or virtually any it asset. There are the topics of big data, data mining, and data exploration which come to mind. In datadriven security, jay jacobs and bob rudis draw together three of the most important topics in it. The human mind has a habit of getting lost in reams and reams of facts and figures, and for misinterpreting the insight as it is delivered. Data visualization tools and techniques for datasets in. View data visualization research papers on academia. Interactive construction, visualization and exploration of decision trees, soon tee teoh and kwanliu ma, in proceedings of acm kdd 2003 conference. You should in theory be ready to explain the contribution of every pixelin the display. Plot choose the right chart type to present the data 4. The real challenge in visualization is creating images that are more than simply attractive.
This paper discusses some of the basic issues concerning data visualization and provides suggestions for addressing those issues. Turning their backs on insufficient security based on hunches and best practices, the authors help you access the world of. Data size and column composition play an important role when selecting graphs to represent your data. The purpose of the final project is to provide handson experience designing, implementing, and evaluating a new visualization method, algorithm or tool. Next, he explores different data sources, and explains how the data from diverse sources can be a powerful tool to enhance your network security. We have identi ed the two usecases for applying visualization to. They must provide insight into the data without confusing the user. Research use an independent source for disputable data 2. Projects will be carried out by a team of 24 people.
Why data visualization is key to enhancing cyber security. Visualization of data can assist in bringing attention to this issue. Its everything you need to help your data make a big impact. Security data visualization is a wellresearched and richly illustrated introduction to the field. As a data discovery and visual analytics software company, we here at advizor solutions are all about. We use your linkedin profile and activity data to personalize ads and to show you more relevant ads. Realtime data analysis the most important feature of data visualization is they play a vital role on real time data by providing deep insights to the user about every piece of. Data visualization is the process of displaying datainformation in graphical charts, figures and bars. To create meaningful visuals of your data, there are some basics you should consider. The process is repeated to form a stacked bar graph that moves across a computer screen to show current and past data traffic composition.
Data visualization and cyber security cambridge intelligence. Visualization for big data security a case study on kdd99 cup data set zichan ruan, yuantian miao, lei pan, nicholas patterson, jun zhang pii. Log files are used to keep track of all the users that have accessed a server. For fast, efficient communication, data visualization is difficult to beat. The future of data visualization were seeing cheaper and more reliable ways to store data than ever before, which means were all seeing far more of it than ever before.
Data provenance is necessary for developing work ows, hence we have done a literature survey on existing visualization techniques for data provenance in chapter 2. Your life raft when drowning in data but we did get a clear signal that the cyber security market has a strong need for visualization. Data visualization ismbeccb 2011 nils gehlenborg definition 10 the use of computersupported, interactive, visual representations of data to amplify cognition. Our updated white paper introduces the topic of network visualization for cyber security data, showing five specific examples of how keylines can be used to detect threats in complex cyber data, including. Visualization based data discovery tools further those concerns, particularly in the area of data quality. Adjacent to data visualization are all the different disciplines that help us getting from raw data to visualizations. Enrollment summary 20092010 20102011 20112012 201220 headcount by gender. This happens when trying to use every shiny new feature of the visualization tool, and ignoring the purpose of the visual.
Despite the fact that predecessors to data visualization date back to the 2nd century ad, most developments have occurred in the last two and a half centuries, predominantly during the last 30. The case for data visualization management systems vision. Till now security professionals were able to survive with microsoft excel and similar tools without indepth knowledge in security data visualization. Hi josh, just read your article, data visualization. Sometimes flashy looks can be such a priority, that it gets in the way of good design. As is often the case, this dashboard seems like its been bolted on to a security tool as a trivial afterthought. Both raw and processed data may be displayed in a summary table, depending upon the application and emphasis. High speed data flow visualization therminator technology watches the data stream and illustrates categories of data as colored bars that are proportional in height to the quantity of data at a given time.
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