3D geographic network displays
ACM SIGMOD Record
VIS '97 Proceedings of the 8th conference on Visualization '97
Visualizing large-scale telecommunication networks and services (case study)
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Visual Computing
IEEE Transactions on Visualization and Computer Graphics
Spectroscopy of DNS update traffic
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A framework for classifying denial of service attacks
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Virtual microphones for multichannel audio resynthesis
EURASIP Journal on Applied Signal Processing
Progressive syntax-rich coding of multichannel audio sources
EURASIP Journal on Applied Signal Processing
Inverse filter design for immersive audio rendering overloudspeakers
IEEE Transactions on Multimedia
Proceedings of the 3rd international workshop on Visualization for computer security
A Component-Based Framework for Visualization of Intrusion Detection Events
Information Security Journal: A Global Perspective
A scalable aural-visual environment for security event monitoring, analysis, and response
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Toward sound-assisted intrusion detection systems
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
Journal of Visual Languages and Computing
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Large complex networks have become an inseparable part of modern society. However, very little has been done to develop tools to manage and ensure the security of such networks. Network operators continue to slave over endless daily logs and alerts in a struggle to keep networks operational. Perhaps the most formidable enemy of network operations today is the volume of management data that must be perused. Expensive commercial products attempt to visualize data but with limited utility, as witnessed by the prevailing use of command-line interfaces and homegrown scripts. In addition to data collection tools, operators need to immediately observe and debug the effects of their actions; yet that information is buried deep in the data that pours daily from monitoring equipment. Thus, they need better ways to abstract network events and better, more informative ways to render them. In this work we first propose a new approach for abstracting network information, namely spectral representation. Second, we introduce immersive spatial audio representations of network events. Third, we introduce 3D interactive auto-stereoscopic (AS) displays for visual representations. We integrate the three techniques as follows. We use spectral techniques to extract complex events buried inside voluminous network traces and logs. Then, we create a desktop interactive immersive auto-stereoscopic 3D environment that is seamlessly integrated with multi-channel spatially rendered audio to render such events in a far more human-friendly fashion.