Colloquium
Time:
Colloquium: Prasanna Karthik Vairam
Date:
9:30 am
Schorr Center
Room: 211
1100 T St
Lincoln NE 68588
Lincoln NE 68588
Additional Info: SHOR
Colloquium: Prasanna Karthik Vairam
“Towards Measuring Quality of Service in Untrusted Multi-Vendor Service Function Chains: Balancing Security and Resource Consumption”
211 Schorr Center
Monday, November 11, 2019
9:30 a.m.-10:20 a.m.
Abstract: The IT infrastructure of large organizations consists of devices and software services purchased from multiple vendors. The problem of measuring the quality of service (QoS) of each of these vendor devices (and services) is challenging since the vendors may tamper with the measurements for monetary benefits or saving debugging efforts. Existing solutions for QoS measurement in trusted environments cannot be extended to this problem since the vendors can easily circumvent them. Solutions borrowed from other areas such as client-server QoS measurement do not help either since they incurunreasonable storage and network overheads, or require extensive modifications to the packet headers. In this paper, we propose the Measuring Tape scheme, comprised of (1) a novel data structure called evidence Bloom filter (e-BF) that can be deployed at the vendor devices (and services), and (2) unique querying techniques, which can be used by the administrator to query the e-BF to measure QoS. While e-BF uses storage and computational resources judiciously, the querying techniques ensure resilience to adversarial behavior. We evaluate our solution based on a few real-world and synthetic traces and with different adversaries. Our results highlight the trade-off between resources (i.e., storage and computation) and the accuracy of QoS predictions, as well as its implications on security. We also present an analytical model of e-BF that establishes the relationship between storage, prediction accuracy, and security. Further, we present security arguments to illustrate how our solution thwarts adversarial attempts to tamper QoS.
Speaker bio: Prasanna Karthik Vairam, Ph.D. student, IIT Madras Prasanna Karthik is a Ph.D. student in the Department of Computer Science and Engineering at the Indian Institute of Technology, Madras (IIT Madras). During his Ph.D., he has developed solutions that an administrator of a multi-vendor network can use for network management. Specifically, his thesis addresses the dearth of reliable tools (that work in adversarial scenarios) to authenticate devices, measure their QoS, and log critical events, especially, when the resources allocated for these objectives are minimal. Prasanna holds a Masters’s degree (2011) in Computer Science and Engineering from the IIT Bombay and a bachelor’s degree (2009) in Computer Science from Anna University. He has also worked at Intel, Bangalore during the period 2011 to 2014 where he was involved in the development of a Functional Model of Intel’s Graphics processors.
“Towards Measuring Quality of Service in Untrusted Multi-Vendor Service Function Chains: Balancing Security and Resource Consumption”
211 Schorr Center
Monday, November 11, 2019
9:30 a.m.-10:20 a.m.
Abstract: The IT infrastructure of large organizations consists of devices and software services purchased from multiple vendors. The problem of measuring the quality of service (QoS) of each of these vendor devices (and services) is challenging since the vendors may tamper with the measurements for monetary benefits or saving debugging efforts. Existing solutions for QoS measurement in trusted environments cannot be extended to this problem since the vendors can easily circumvent them. Solutions borrowed from other areas such as client-server QoS measurement do not help either since they incurunreasonable storage and network overheads, or require extensive modifications to the packet headers. In this paper, we propose the Measuring Tape scheme, comprised of (1) a novel data structure called evidence Bloom filter (e-BF) that can be deployed at the vendor devices (and services), and (2) unique querying techniques, which can be used by the administrator to query the e-BF to measure QoS. While e-BF uses storage and computational resources judiciously, the querying techniques ensure resilience to adversarial behavior. We evaluate our solution based on a few real-world and synthetic traces and with different adversaries. Our results highlight the trade-off between resources (i.e., storage and computation) and the accuracy of QoS predictions, as well as its implications on security. We also present an analytical model of e-BF that establishes the relationship between storage, prediction accuracy, and security. Further, we present security arguments to illustrate how our solution thwarts adversarial attempts to tamper QoS.
Speaker bio: Prasanna Karthik Vairam, Ph.D. student, IIT Madras Prasanna Karthik is a Ph.D. student in the Department of Computer Science and Engineering at the Indian Institute of Technology, Madras (IIT Madras). During his Ph.D., he has developed solutions that an administrator of a multi-vendor network can use for network management. Specifically, his thesis addresses the dearth of reliable tools (that work in adversarial scenarios) to authenticate devices, measure their QoS, and log critical events, especially, when the resources allocated for these objectives are minimal. Prasanna holds a Masters’s degree (2011) in Computer Science and Engineering from the IIT Bombay and a bachelor’s degree (2009) in Computer Science from Anna University. He has also worked at Intel, Bangalore during the period 2011 to 2014 where he was involved in the development of a Functional Model of Intel’s Graphics processors.
Download this event to my calendar
This event originated in School of Computing.