NSF Org:	CNS Division Of Computer and Network Systems
Recipient:	FLORIDA INSTITUTE OF TECHNOLOGY INC
Initial Amendment Date:	May 19, 2016
Latest Amendment Date:	May 19, 2016
Award Number:	1566530
Award Instrument:	Standard Grant
Program Manager:	Sandip Kundu CNS  Division Of Computer and Network Systems CSE  Directorate for Computer and Information Science and Engineering
Start Date:	June 1, 2016
End Date:	January 31, 2018 (Estimated)
Total Intended Award Amount:	$175,000.00
Total Awarded Amount to Date:	$175,000.00
Funds Obligated to Date:	FY 2016 = $37,755.00
History of Investigator:	Fareena Saqib (Principal Investigator) fsaqib@uncc.edu
Recipient Sponsored Research Office:	Florida Institute of Technology 150 W UNIVERSITY BLVD MELBOURNE FL  US  32901-8995 (321)674-8000
Sponsor Congressional District:	08
Primary Place of Performance:	Florida Institute of Technology 150 W University Blvd Melbourne FL  US  32901-6975
Primary Place of Performance Congressional District:	08
Unique Entity Identifier (UEI):	WNN6VH618X58
Parent UEI:
NSF Program(s):	CRII CISE Research Initiation
Primary Program Source:	01001617DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	025Z, 8228, 9102
Program Element Code(s):	026Y00
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

Crucial and critical needs of security and trust requirements are growing in all classes of applications such as in automobiles and for wearable devices. Traditional cryptographic primitives are computation-intensive and rely on secrecy of shared or session keys, applicable on large systems like servers and secure databases. This is unsuitable for embedded devices with fewer resources for realizing sufficiently strong security. This research addresses new hardware-oriented capabilities and mechanisms for protecting Internet of Things (IoT) devices. This research has the potential to significantly enhance the security capability of today and emerging applications, particularly those that can benefit from reliable authentication using hardware features.

The project concerns a hardware-based authentication framework using strong physical unclonable functions (PUFs) for enhanced security for Internet of Things (IOT) devices. It focuses on new authentication techniques, incorporating lightweight cryptographic primitives with PUFs, and novel pre-boot authentication and storage encryption functions for trusted platform modules (TPM). The project will evaluate the proposed techniques against a threat model, including model-building, replay, and probing attacks.

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