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The visual display of quantitative information
Envisioning information
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Computers in Physics
Visual explanations: images and quantities, evidence and narrative
Visual explanations: images and quantities, evidence and narrative
The grammar of graphics
How to Lie with Charts
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Writing Secure Code
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Proceedings of the 2002 workshop on New security paradigms
Threat Modeling
The Spinning Cube of Potential Doom
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Passive visual fingerprinting of network attack tools
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
IEEE Security and Privacy
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Communications of the ACM - The disappearing computer
How to Lie With Statistics
A Framework for Countering Denial-of-Information Attacks
IEEE Security and Privacy
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
Tool update: high alarm count issues in IDS rainstorm
Proceedings of the 3rd international workshop on Visualization for computer security
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Proceedings of the 3rd international workshop on Visualization for computer security
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Proceedings of the 5th annual conference on Information security curriculum development
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IEICE - Transactions on Information and Systems
ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance
Malicious interface design: exploiting the user
Proceedings of the 19th international conference on World wide web
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IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Proceedings of the Tenth Workshop on Visualization for Cyber Security
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Information visualization is an effective way to easily comprehend large amounts of data. For such systems to be truly effective, the information visualization designer must be aware of the ways in which their system may be manipulated and protect their users from attack. In addition, users should be aware of potential attacks in order to minimize or negate their effect. These attacks target the information visualization system as well as the perceptual, cognitive and motor capabilities of human end users. To identify and help counter these attacks we present a framework for information visualization system security analysis, a taxonomy of visualization attacks and technology independent principles for countering malicious visualizations. These themes are illustrated with case studies and working examples from the network security visualization domain, but are widely applicable to virtually any information visualization system.