- The explosive growth of electronic commerce has dramatically increased credit card piracy threats associated with traditional online transactions that transmit sensitive user data over global networks.
- According to the US Department of Justice, in July 2012, internet-related credit card and ATM card fraud totaled $3.33B per year worldwide.
- In order to provide a trustworthy shopping experience to customers, Online Merchants hosting in-house payment processing must stay vigilant in the costly cat-and-mouse information security race – diverting precious resources from their core business of order-fulfillment operations.
- The eCommer$e Portfolio of technologies prevents sensitive payment ID information from being transmitted over the network, offering customers and online merchants a safe and trusted infrastructure to process sales orders while simplifying payment processing.
Technology & Applications
- eCommer$e Portfolio “Order Match” is a global online transaction technology allowing payments for digital orders to be made without the need for credit card information to be transmitted by the customer or stored by the merchant, reducing the risk of fraud while providing merchants a way to streamline order processing.
See the eCommer$e Portfolio Life Cycle Chart.
|Order Match™||Secure online transactions are enabled by storing payment card numbers on a secure host to enable financial transactions without exchanging payment information between buyers and sellers. Payments are processed only when a buyer and seller present matching Order IDs and authentication keys to the secure host during a time-sensitive period.|
- Leveraging existing financial infrastructures, eCommer$e Portfolio technologies have become central to the core engines powering millions of transactions per day for some of the world’s largest online payment processing services used by PayPal, Google Checkout, app stores, and more.
Dr. James Shaw-Han Kuo received his Ph.D in Computational Mechanics from UC Berkeley in 1982 for his pioneering research in developing analytical algorithms to assess deformations in structures in seismic earthquake simulations.
In the 90’s Dr. Kuo had provided his guidance to the automotive industry where he’s developed topology algorithms to strengthen automotive structural designs found in General Motors and Toyota vehicles. Later, his research in dynamic surface modeling was heavily incorporated into Computer Aided Design/Manufacturing/Engineering software as these tools became widely adopted.
Most recently, Dr. Kuo is working with Asus in developing products for the financial industry that incorporate security algorithms into motherboard designs.
Dr. Kuo is an active Member or ACM, IEEE, and the NSF review panel. He currently lives in Piedmont near his alma mater, UC Berkeley.