Salmin Sultana - Purdue University
Students: Fall 2021, unless noted otherwise, sessions will be virtual on Zoom.
Secure Provenance Transmission for Data Streams
Jan 18, 2012Download: MP4 Video Size: 517.4MB
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AbstractMany application domains, such as real-time financial analysis, e-healthcare systems, sensor networks, are characterized
by continuous data streaming from multiple sources and through intermediate processing by multiple aggregators. Keeping track of
data provenance in such highly dynamic context is an important requirement, since data provenance is a key factor in assessing
data trustworthiness which is crucial for many applications. Provenance management for streaming data requires addressing several
challenges, including the assurance of high processing throughput, low bandwidth consumption, storage efficiency and secure transmission. In this talk, I will discuss a novel approach to securely transmit provenance for streaming data (focusing on sensor network) by embedding provenance into the inter-packet timing domain while addressing the above mentioned issues. As provenance is hidden in another host-medium, our solution can be conceptualized as watermarking technique. However, unlike traditional watermarking approaches, we embed provenance over the inter-packet delays rather than in the sensor data themselves, hence avoiding the problem of data degradation due to watermarking. Provenance is extracted by the data receiver utilizing an optimal threshold-based mechanism which minimizes the probability of provenance decoding errors. The resiliency of the scheme against outside and inside attackers is established through an extensive security analysis. Experiments show that our technique can recover provenance upto a certain level against perturbations to inter-packet timing characteristics.
About the Speaker
Salmin Sultana is pursuing her PhD in Computer Engineering in the School of ECE at Purdue University. Her research interests include secure data provenance, security and fault tolerance of distributed systems, such as cloud computing, power grid, and high performance computing. She is a member of the Center for Education and Research in Information Assurance and Security (CERIAS).