NSF Award Search: Award # 0730389 - EXP-SA: Prediction and Detection of Network Membership through Automated Hard Drive Analysis

Award Abstract # 0730389

EXP-SA: Prediction and Detection of Network Membership through Automated Hard Drive Analysis

NSF Org:	CBET Div Of Chem, Bioeng, Env, & Transp Sys
Recipient:	PRESIDENT AND FELLOWS OF HARVARD COLLEGE
Initial Amendment Date:	July 18, 2007
Latest Amendment Date:	July 18, 2007
Award Number:	0730389
Award Instrument:	Standard Grant
Program Manager:	Sylvia Spengler sspengle@nsf.gov �(703)292-7347 CBET �Div Of Chem, Bioeng, Env, & Transp Sys ENG �Directorate For Engineering
Start Date:	August 1, 2007
End Date:	July 31, 2010�(Estimated)
Total Intended Award Amount:	$399,982.00
Total Awarded Amount to Date:	$399,982.00
Funds Obligated to Date:	FY 2007 = $399,982.00
History of Investigator:	Patrick Wolfe (Principal Investigator) patrick@deas.harvard.edu
Recipient Sponsored Research Office:	Harvard University 1033 MASSACHUSETTS AVE STE 3 CAMBRIDGE MA �US �02138-5366 (617)495-5501
Sponsor Congressional District:	05
Primary Place of Performance:	Harvard University 1033 MASSACHUSETTS AVE STE 3 CAMBRIDGE MA �US �02138-5366
Primary Place of Performance Congressional District:	05
Unique Entity Identifier (UEI):	LN53LCFJFL45
Parent UEI:
NSF Program(s):	EXPLOSIVES & RLTD THREATS EXP
Primary Program Source:
Program Reference Code(s):	0000, 019E, 134E, OTHR
Program Element Code(s):	765300
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.041

ABSTRACT

EXP-SA: Prediction and Detection of Network Membership through Automated Hard Drive Analysis

Patrick Wolfe
Harvard University (0730389)

This project is for research for predicting and detecting social network membership based on automated forensic analysis, unsupervised learning techniques, and statistical inference. The research focuses on establishing network membership from hard drive data, using a corpus of 750 seized hard drives already obtained by the PI and senior researcher. The project will conduct novel research to detect social networks implicit in common information links between seized hard drives and related media.
The work will broadly apply to any large data collection in multiple domains.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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M.-A. Belabbas and P. J. Wolfe "Spectral Methods in Machine Learning: New Strategies for Very Large Data Sets" Proc. Natl. Acad. Sci. USA , v.106 , 2009 , p.369

M.-A. Belabbas and P. J. Wolfe "On landmark selection and sampling in high-dimensional data analysis" Philosophical Transactions of the Royal Society, Series A , v.367 , 2009 10.1098/rsta.2009.0161

S. Garfinkel, P. Farrell, V. Roussev and D. Dinolt "Bringing science to digital forensics with standardized forensic corpora" Digital Investigation , v.9 , 2009 , p.S2 10.1016/j.diin.2009.06.016

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