Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 3 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
The concern and need to protect data and privacy continue to grow. Over the years, fully homomorphic encryption (FHE) has emerged as a possible solution and offers defense mechanisms that allows computations to be performed directly on encrypted data while maintaining confidentiality. However, high computational complexity on large ciphertexts had limited the capability for FHE to be leveraged. To address these challenges, there is a need for cryptographic accelerators that can expedite real-world application deployment. Thus, the objective of this project is to design and optimize the homomorphic encryption algorithm to enhance data sharing and confidentiality. To accomplish the research objective, there is a need to develop a framework that leverages the benefits of homomorphic encryption (HE), and machine learning (ML), to protect information during data collection and sharing process against potential attacks such as data collected from supervised devices such as sensors, network flow, and camera systems that are encrypted using HE schemes. Machine learning (ML) as a cloud-based service is growing rapidly and the growth of Internet-of-Things data have given rise to a significant concern for monitoring systems while maintaining the security of data during ML inferences. Cryptographic accelerators may reduce the computational burden of homomorphic functions, enabling faster and more efficient computations on the encrypted data. The proposed approach will advance new theories and methods for effective and efficient defense processes involving homomorphic encryption, ML, and optimization of data sharing and privacy.
Additionally, how can the IC or other groups with sensitive data work (e.g., DoD, personal medical data, census data) with the data and perform advanced analyses while the data is in a protected state (i.e., encrypted). Current methods can have unacceptably large overheads and are clumsy to program, at best with their current tools working at what amounts to a gate level of programming. It is often difficult to specify security requirements (i.e., who gets to see what data) at a fine-grained level.
Example Approaches:
(1) Develop a software architecture for integrating FHE into networks to collect data from devices such as sensors and sensing and camera systems. (2) Provide a proof-of concept by developing a small data base using the software architecture. (3) Implement the software design using simulated or real sensor arrays feeding FHE data to an encrypted data base where ML operations will be executed. (4) Deliver a report that compares the results to the same data created in an unencrypted environment and demonstrates essential equivalence of the machine learning process and outcomes. (5) prepare a user-friendly set of tools and rules to apply homomorphic encryption to the problem of machine learning and privacy preservation. (6) Explore how the FHE will perform at scale with large datasets/changing of resources and demand on the system.
Also, current techniques fully homomorphic encryption currently applies for the underlying encrypted operations, but these need to be combined with boutique programming languages and associated compilers, along with development of “data independent algorithms”. In addition, advanced security sensitive programming languages might be able to use specially developed type systems to specify data security requirements in a fine-grained way.
Relevance to the Intelligence Community:
Cyber - Develop/enhance capabilities to identify and protect critical assets, information systems, technologies, industries, and people.
Category Zero; Develop/enhance capabilities to quickly identify deception techniques.
Key Words: Homomorphic Encryption, Machine Learning, Internet of Things, Sensors, Privacy of Data, Private Information Retrieval, Oblivious RAM
ORISE GO
The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from application, to offer, through your appointment and even as an ORISE alum!
You gave a rating of 0 star(s)
SECURITY/PRIVACY NOTICE
By continuing to use this system you indicate your awareness of and consent to the following terms and conditions of use. LOGOUT IMMEDIATELY if you do not agree to the conditions stated in this warning.
SECURITY NOTICE
This system is part of a Federal information system. This system is monitored for security purposes to ensure it remains available to all users and to protect information in the system. The system employs software programs to monitor network traffic to identify unauthorized activities. By accessing this system, you are expressly consenting to these monitoring activities. Unauthorized attempts to defeat or circumvent security features; to use the system for other than intended purposes; to deny service to authorized users; to access, obtain, alter, damage, or destroy information; to upload or change information; to otherwise cause system or information damage; or otherwise to interfere with the system or its operation, is prohibited. Evidence of such acts may be dis-closed to law enforcement authorities and result in prosecution under the Computer Fraud and Abuse Act of 1986 and the National Information Infrastructure Protection Act of 1996, or other applicable laws.
PRIVACY NOTICE
This system is for authorized use only. Use of this system constitutes consent to security monitoring and testing. All activity is logged with your host name and IP address. Users (authorized or unauthorized) have no explicit or implicit expectation of privacy. Any or all uses of this system and all files on this system may be intercepted, monitored, recorded, copied, audited, inspected, and dis-closed to authorized site and law enforcement personnel, as well as authorized officials of other agencies, both domestic and foreign. By using this system, the user consents to such interception, monitoring, recording, copying, auditing, inspection, and disclosure at the discretion of authorized site or law enforcement personnel. Unauthorized or improper use of this system may result in administrative disciplinary action and civil and criminal penalties.
You have been inactive on this page for . You will be logged out after 03:00:00.
Select an icon below to visit the website and download an appropriate browser.
For help, please email Zintellect@orau.org.
Question: What is the deadline for submitting an application?
Answer: Not all opportunities have application deadlines. Some opportunities remain open until they are filled. If an opportunity has an application deadline, then it will be listed in the opportunity details or in the opportunity catalog.
Question: How do I reset my password?
Answer: If you have forgotten your password or wish to reset your password, use the "Forgot password or username?" tab on the login to reset it.
Question: I forgot my username. How do I retrieve it?
Answer: Use the "Forgot password or username?" tab on the login. You will receive an email containing your username.
Question: What do I need to submit an application?
Answer: Typically, applicants are required to submit a resume or CV, an official copy of their transcripts or academic record, and a minimum of two references at the time they apply. Additional requirements such as a writing sample, thesis or dissertation, etc. may be required. Review the opportunity details for additional information about the requirements for applying for an opportunity.
Question: Where do I upload my transcripts?
Answer: If required, you will be asked to upload your transcript as a part of the application process.
Question: Where do I submit a writing sample?
Answer: If required, you will be asked to upload a writing sample as part of the application process.
Question: Can a family member serve as a reference?
Answer: No; family members may not serve as references. References must be able to speak to your educational and/or professional experience. At least one academic reference is preferred.
Our Zintellect A.I. is constantly learning how to Match you to our opportunities! So, we want to know when we get it right or when we get it wrong. This will help us make our better! Plus, as a potential applicant to one of our many opportunities across the country, we value you and want to help you on your career path!
