Research Statement v1.11 - thank Victor R. Jose for proofreading Kuan-ming Lin Nov. 29, 2004. All Rights Reserved. 1. A Great Challenge on Cryptography Ten years ago, the definition of computer in most people's minds was the standalone PC in their home, where most tasks they want to do was accomplished be done without significant communication. Cryptography therefore was not urgent for personal use, and was only of interest in the military and the academia. However, as the Internet has become indispensable in most people's work and life, many personal data stored in the computer are exposed either willingly or unwillingly to all other users. It is known that many computer crackers (most of who are malicious and some criminal) have been continuously targeting and attacking vulnerable systems on the Internet. Therefore, electronic data protection research ranging from encryption algorithms to anti-virus/firewall solutions has played an active role both in the academia and industry. The security/privacy crisis has become even more serious with the popularity of E-commerce like Internet shopping, unmanned bank transaction, and so forth. Because current solutions in practice, for example MD5 hashing, PGP signature, 3-DES encryption, and SSL transaction protocol, have been proven unsafe in certain cases, public acceptance for on-line transaction has improved much slower than expected. Advanced computational technologies like long-key RSA/ECC encryption are still experimental and are still reliant on unproved hypotheses. (An example of such a hypothesis is "Factorizing a huge integer is computationally intractable.") 2. Alternative Cryptographic Schemes My primary interest is cryptography, so I try to set my short-term career goal to improve the reliability and applicability of some advanced cryptography researches. Before I used to relate cryptography to only computational number theory and complexity theory, but now I find cryptography to be a wide interdisciplinary area of research. Even for theoretical cryptography in which I am most interested, there is a variety of active research branches. For example, some imaginative yet promisingly realizable computation models have been proposed to beat the computational limitation of current von-Neumann computer architecture. These models, including quantum computing, DNA self-assembly computing, and neural computation, have the potential to be extended to cryptographic systems which are more secure than state-of-the-art implementations. The mathematical research branch on finite field algebra may also contribute in novel algorithms for cryptography. Discrete logarithm, for example, has been proven to be at least as secure as the RSA approach. Also, biological identification processes such as fingerprints and iris scanning are also being applied to confidential data access; however, the success of such processes relies on efficient database searching and machine learning from noisy sensors. Hence, I am equally interested in doing research related to combining efficient computations with biological techniques. Finally, studies in computational complexity, such as attempts to address the famous $(P=NP)?$ question, may help define the complexity of various cryptographic tasks.