January 27, 2010
Title: Shh!... Who's There? Using Sonification to Support Network Intrusion Detection
Abstract: Network intrusion detection has been generally dealt with using sophisticated software and statistical analysis. Nevertheless, sometimes it must be performed manually by network administrators, either by analyzing the network state in real time or by revising network logs, making this a tedious and time-consuming task. To support this activity, human-made analysis of network traffic and network logs has been carried out using auditory parameters, conveying meaningful information (sonification) on network traffic trends and patterns, and working as auditory feedback, with the objective to support network attack detection in a timely and efficient way. In this talk, I present a compilation of different works towards auditory interfaces for analyzing network state analysis. In addition, I will show some examples on sonifications of network attacks using a sonification mapping scenario. This is a research carried out in conjunction with Dr. Miguel Vargas Martin of UOIT.
Biography: Dr. Miguel A. Garcia-Ruiz graduated in Computer Systems engineering and obtained his MSc in Computer Science from the University of Colima, Mexico. He received his PhD in Computer Science and Artificial Intelligence from the University of Sussex, England. Miguel is an Assistant Professor at the College of Telematics, University of Colima, and currently is a Visiting Professor at the Faculty of Business and IT of the University of Ontario Institute of Technology (UOIT). He has been teaching Human-Computer Interaction (HCI) courses, and doing research mainly on multimodal and auditory interfaces at the University of Colima and UOIT. Miguel has published more than sixty peer-reviewed scientific papers in major journals and conference proceedings. Dr. Garcia-Ruiz also has published two books and a number of book chapters on HCI and auditory interfaces.