Skip Navigation Links

Project Information

SATC: CORE: SMALL: COLLABORATIVE: EXPLOITING PHYSICAL PROPERTIES IN WIRELESS NETWORKS FOR IMPLICIT AUTHENTICATION

Agency:
NSF

National Science Foundation

Project Number:
1820624
Contact PI / Project Leader:
CHEN, YINGYING
Awardee Organization:
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK

Description

Abstract Text:
The rapid development of information technology not only leads to great convenience in our daily lives, but also raises significant concerns in the field of security and privacy. Particularly, the authentication process, which serves as the first line of information security by verifying the identity of a person or device, has become increasingly critical. An unauthorized access could result in detrimental impact on both corporation and individual in both secrecy loss and privacy leakage. Unlike many existing studies on user/device authentication, which either employ specialized or expensive hardware that needs experts for installation and calibration or require users' active involvement, the emerging low-cost and unobtrusive authentication solution without the users' participation is particularly attractive to effectively complement conventional security approaches. Due to the rich wireless connectivity and unique signal characteristics in pervasive wireless environments, this project takes a different view point by exploiting unique physical properties in wireless networks to facilitate implicit authentication for both human and mobile devices. The proposed research could advance our knowledge in exploiting the physical layer information in wireless networks to capture unique physiological and behavioral characteristics from human during their daily activities. It could also enhance our understanding in developing deep learning techniques to authenticate people based on their activities in the physical environments. Additionally, the educational efforts include curriculum development, K-12 and undergraduate involvement, and underrepresented student engagement in research.This project focuses on building a holistic framework that leverages fine-grained radio signals available from the commercial wireless networks to perform implicit user/device authentication. The proposed framework aims to advance the foundation of integrating fine-grained physical properties in wireless networks to enhance wireless security. The research reveals that the fine-grained signal properties in wireless networks are capable to capture unique physiological and behavioral characteristics from human in both stationary and mobile daily activities. The proposed framework develops smart segmentation on the wireless signals and extract unique features that enable the capability of distinguishing individual. It further develops deep learning techniques to authenticate people based on their daily activities in the physical environments. The authentication process does not require active user involvement nor require the user to wear any device. This project also develops efficient techniques to detect the presence of user spoofing and localize attackers to facilitate the employment of a broad array of defending strategies.
Project Terms:
base; Behavioral; Calibration; Characteristics; Complement; cost; curriculum development; Data Security; deep learning; Development; Devices; Employment; Environment; Extravasation; Foundations; Grain; handheld mobile device; Human; Human Characteristics; Individual; Information Technology; Knowledge; Names; Persons; Physical environment; physical property; Physiological; Privacy; Process; Property; Radio; Research; Secrecy; Security; Signal Transduction; student participation; Techniques; undergraduate student; Underrepresented Students; wireless network; Wireless Technology

Details

Contact PI / Project Leader Information:
Name:  CHEN, YINGYING
Other PI Information:
Not Applicable
Awardee Organization:
Name:  RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
City:  PISCATAWAY    
Country:  UNITED STATES
Congressional District:
State Code:  NJ
District:  06
Other Information:
Fiscal Year: 2018
Award Notice Date: 18-Dec-2017
DUNS Number: 001912864
Project Start Date: 01-Oct-2017
Budget Start Date:
CFDA Code: 47.070
Project End Date: 31-Aug-2020
Budget End Date:
Agency: ?

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

National Science Foundation
Project Funding Information for 2018:
Year Agency

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

FY Total Cost
2018 NSF

National Science Foundation

$339,950

Results

i

It is important to recognize, and consider in any interpretation of Federal RePORTER data, that the publication and patent information cannot be associated with any particular year of a research project. The lag between research being conducted and the availability of its results in a publication or patent award varies substantially. For that reason, it's difficult, if not impossible, to associate a publication or patent with any specific year of the project. Likewise, it is not possible to associate a publication or patent with any particular supplement to a research project or a particular subproject of a multi-project grant.

ABOUT FEDERAL REPORTER RESULTS

Publications: i

Click on the column header to sort the results

PubMed = PubMed PubMed Central = PubMed Central Google Scholar = Google Scholar

Patents: i

Click on the column header to sort the results

Similar Projects

Download Adobe Acrobat Reader:Adobe Acrobat VERSION: 3.41.0 Release Notes
Back to Top