Do you see what I hear: experiments in multi-channel sound and 3D visualization for network monitoring?

Mark Ballora; David L. Hall

doi:10.1117/12.850319

28 April 2010 Do you see what I hear: experiments in multi-channel sound and 3D visualization for network monitoring?

Mark Ballora, David L. Hall

Proceedings Volume 7709, Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II; 77090J (2010) https://doi.org/10.1117/12.850319
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Detection of intrusions is a continuing problem in network security. Due to the large volumes of data recorded in Web server logs, analysis is typically forensic, taking place only after a problem has occurred. This paper describes a novel method of representing Web log information through multi-channel sound, while simultaneously visualizing network activity using a 3-D immersive environment. We are exploring the detection of intrusion signatures and patterns, utilizing human aural and visual pattern recognition ability to detect intrusions as they occur. IP addresses and return codes are mapped to an informative and unobtrusive listening environment to act as a situational sound track of Web traffic. Web log data is parsed and formatted using Python, then read as a data array by the synthesis language SuperCollider [1], which renders it as a sonification. This can be done either for the study of pre-existing data sets or in monitoring Web traffic in real time. Components rendered aurally include IP address, geographical information, and server Return Codes. Users can interact with the data, speeding or slowing the speed of representation (for pre-existing data sets) or "mixing" sound components to optimize intelligibility for tracking suspicious activity.

Citation Download Citation

Mark Ballora and David L. Hall "Do you see what I hear: experiments in multi-channel sound and 3D visualization for network monitoring?", Proc. SPIE 7709, Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II, 77090J (28 April 2010); https://doi.org/10.1117/12.850319

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