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Award Abstract #1115839

TC: Small: New Directions in Side Channel Attacks and Countermeasures

NSF Org: CNS
Division Of Computer and Network Systems
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Initial Amendment Date: July 23, 2011
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Latest Amendment Date: May 6, 2013
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Award Number: 1115839
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Award Instrument: Standard Grant
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Program Manager: Deborah Shands
CNS Division Of Computer and Network Systems
CSE Direct For Computer & Info Scie & Enginr
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Start Date: August 1, 2011
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End Date: July 31, 2015 (Estimated)
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Awarded Amount to Date: $437,558.00
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Investigator(s): Inyoung Kim inyoungk@vt.edu (Principal Investigator)
Patrick Schaumont (Co-Principal Investigator)
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Sponsor: Virginia Polytechnic Institute and State University
Sponsored Programs 0170
BLACKSBURG, VA 24061-0001 (540)231-5281
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NSF Program(s): SPECIAL PROJECTS - CISE,
TRUSTWORTHY COMPUTING
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Program Reference Code(s): 7795, 7923, 9102, 9178, 9251
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Program Element Code(s): 1714, 7795

ABSTRACT

This project develops new and promising techniques in the area of side-channel attacks and their corresponding countermeasures. In a side-channel attack, an attacker captures the implementation effects of cryptography, such as power consumption and execution time. A distinctive feature of a side-channel analysis (SCA) attack is that it can reveal a small part of the secret-key. Hence, side-channel attacks avoid the brute-force complexity of cryptanalysis. Using novel side-channel estimation techniques based on Bayesian statistics, the project develops more powerful side-channel attacks. The development of novel side-channel analysis techniques is crucial in order to obtain the best possible countermeasures. The project also develops novel software-oriented countermeasures that more flexible and general than traditional hardware-oriented side-channel countermeasures. The efficiency of side-channel attacks and side-channel countermeasures are evaluated using hardware and software prototyping. The project combines advanced statistical techniques with advanced computer engineering, building synergy between Statistics and Computer Engineering. In the field of Statistics, the Bayesian matching technique can be used for variable selection, a technique that is applicable to related problems in biostatistics, machine learning, data mining, genomics, and other areas with high dimensional data. Project results will be disseminated by distributing open-source prototype implementations, measurement data, and in open publications. A formal training program within the Laboratory for Interdisciplinary Statistical Analysis (LISA) at Virginia Tech is developed to distribute the results of this project to students.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Y. Xu, I. Kim, and P. Schaumont. "Adaptive Bayes Sum Test for the Equality of Two Nonparametric Functions.," Journal of Applied Statistics, 2015.

H. Zhang and I. Kim. "Adaptive Rejection Metropolis Simulated Annealing for Detecting Global Maximum Region," Methodology and Computing in Applied Probability, 2014.

J. Chen, I. Kim, G. Terrell, L. Liu, and G. Toth. "Generalized single-index mixed model for repeated measures data," Journal of Nonparametric statistics, 2014.

H. Zhang and I. Kim. "emiparametric Bayesian Hierarchical Models for Nonlinear Mixed Effects Model," Journal of Applied Statistics, 2014.

H. Eldib, C. Wang, M. Taha, P. Schaumont. "Quantitative Masking Strength: Quantifying the Power Side-Channel Resistance of Software Code," IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, v.PP, 2015. 

M. Taha, P. Schaumont. "Key-Updating for Leakage Resiliency with Application to AES Modes of Operation," IEEE Transactions on Information Forensics & Security, v.10, 2015, p. 519. 

H. Eldib, C. Wang, P. Schaumont. "Formal Verification of Software Countermeasures against Side-Channel Attacks," ACM Transactions on Software Engineering and Methodology, v.24, 2014. 

BOOKS/ONE TIME PROCEEDING

S. Mane, M. Taha, P. Schaumont. "Efficient and Side-channel Secure Block Cipher
Implementation with Custom Instructions on FPGA", 08/01/2011-07/31/2012,  2012, "International Conference on Field Programmable Logic and Applications, August 2012".

M. Taha, P. Schaumont. "A Novel Profiled Side-channel Attack in Presence of High
Algorithmic Noise", 08/01/2011-07/31/2012,  2012, "International Conference on Computer Design 2012,
special track on Testing, Verification and Security".

Z. Fang, I. Kim and P. Schaumont. "Flexible variable selection for Recovering
Sparsity in Nonadditive Multivariate Nonparametric model", 08/01/2011-07/31/2012,  2012, "NA".

Z. Fang and I. Kim. "A Graphical view of Bayesian Variable Selection", 08/01/2011-07/31/2012,  2012, "NA".

S. Mane, M. Taha, P. Schaumont. "Efficient and Side-channel Secure Block Cipher
Implementation with Custom Instructions on FPGA", 08/01/2011-07/16/2012,  2012, "International Conference on Field Programmable Logic and Applications, August 2012".

M. Taha, P. Schaumont. "A Novel Profiled Side-channel Attack in Presence of High
Algorithmic Noise", 08/01/2011-07/16/2012,  2012, "International Conference on Computer Design 2012,
special track on Testing, Verification and Security".

Z. Fang, I. Kim and P. Schaumont. "Flexible variable selection for Recovering
Sparsity in Nonadditive Multivariate Nonparametric model", 08/01/2011-07/16/2012,  2012, "NA".

Z. Fang and I. Kim. "A Graphical view of Bayesian Variable Selection", 08/01/2011-07/16/2012,  2012, "NA".

 

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