Oral Candidacy - Fattaneh Bayatbabolghani
|Start:||5/26/2016 at 1:00PM|
|End:||5/26/2016 at 4:30PM|
|Location:||258 Fitzpatrick Hall|
Faculty and students are welcome to attend the presentation portion of the defense.
May 26, 2016 1:00 pm 258 Fitzpatrick Hall
Adviser: Dr. Marina Blanton
Dr. Mehrdad Aliasgari Dr. Scott Emrich Dr. Patrick Flynn
Dr. Walter Scheirer Dr. Aaron Striegel
"Secure Computation on Biometric Data"
Biometric data is a type of data which comes from human characteristics such as iris, voice, fingerprint, and DNA. Also, different types of biometric data have become increasingly ubiquitous during recent decades. Because of the highly sensitive nature of biometric data, it requires protection in a variety of applications such as biometric recognition including verification and identification.
Secure computation on biometric data is a challenging topic and it has been drawing growing attention during recent years. There are different types of biometric data used in a variety of applications. Based on the computations that need to be carried out and the type of biometric data, we need to construct specific solutions. Our solutions are usually general and work for other biometric computations and other applications. That makes our research more influential. Moreover, for each application, the size of the computations and the computational power of the parties leave us to assign computations to the cloud or external servers that increases the risk of revealing sensitive data, and makes the problem more challenging.
Here, we look at three biometric modalities which are voice, DNA, and fingerprint. Specifically, we focus on voice recognition in a strong security setting (malicious adversarial model) using floating point arithmetic, we design novel general approaches to securely compute three genomic tests (i.e., paternity, ancestry, and genomic compatibility), and we are currently working on secure fingerprint recognition protocols which include both alignment and matching processes. To the best of our knowledge, our unique contributions in different biometric modalities largely benefit the field of secure biometric computation.