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| − | + | This project attempts to tackle the complexity of cybersecurity and visualise suspicious attacks that are highly likely to be actual attacks in a meaningful and intuitive manner. That is not an easy task given that cyber-attacks can take place at any time, from anywhere, at any intensity (e.g. number of connections) and in many different forms. Hence tools to aid cybersecurity experts in detecting and defending against cyber-attacks need to continually be refined and upgraded. This project is a first step in that direction. | |
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Revision as of 15:00, 13 August 2018
LINK TO PROJECT GROUPS:
Please Click Here -> [1]
Cybersecurity
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Contents
Introduction
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Objective and Motivations
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Previous Works
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Dataset and Data Preparation
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Design Framework and Visualization Methodologies
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Insights and Implications
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Limitation and Future Work
PUT YOUR CONTENT HERE |
Conclusion
This project attempts to tackle the complexity of cybersecurity and visualise suspicious attacks that are highly likely to be actual attacks in a meaningful and intuitive manner. That is not an easy task given that cyber-attacks can take place at any time, from anywhere, at any intensity (e.g. number of connections) and in many different forms. Hence tools to aid cybersecurity experts in detecting and defending against cyber-attacks need to continually be refined and upgraded. This project is a first step in that direction. |
References
[1] Shneiderman, B. (2005) “The eyes have it: A task by data type taxonomy for information visualization” IEEE Conference on Visual Languages (VL96), pp. 336-343 |
