Intertrust Technologies Corporation

Andrew K Wright

Umesh Maheshwari

W Olin Sibert

Robert E Tarjan

Lesley R Matheson

Susan S Owicki

James Jay Horning

William G Horne

Andrew V Goldberg

William G Home

Jason D Hartline

James J Homing

Susan K Owicki

Systems and methods are disclosed for protecting a computer program from unauthorized analysis and modification. Obfuscation transformations can be applied to the computer program's local structure, control graph, and/or data structure to render the program more difficult to understand and/or modify. Tamper-resistance mechanisms can be incorporated into the computer program to detect attempts to tamper with the program's operation. Once an attempt to tamper with the computer program is detected, the computer program reports it to an external agent, ceases normal operation, and/or reverses any modifications made by the attempted tampering. The computer program can also be watermarked to facilitate identification of its owner. The obfuscation, tamper-resistance, and watermarking transformations can be applied to the computer program's source code, object code, or executable image.

Software self-defense systems and methods

Systems and methods are disclosed for embedding information in software and/or other electronic content such that the information is difficult for an unauthorized party to detect, remove, insert, forge, and/or corrupt. The embedded information can be used to protect electronic content by identifying the content's source, thus enabling unauthorized copies or derivatives to be reliably traced, and thus facilitating effective legal recourse by the content owner. Systems and methods are also disclosed for protecting, detecting, removing, and decoding information embedded in electronic content, and for using the embedded information to protect software or other media from unauthorized analysis, attack, and/or modification.

Systems and methods for watermarking software and other media

Systems and methods are provided for pricing, selling, and/or otherwise distributing electronic content using auction mechanisms. A randomized auction mechanism is used to determine both the number of goods that are sold and the selling price. The auction mechanism automatically adapts to the bid distribution to yield revenue that is competitive with that which could be obtained if the vendor were able to determine the optimal fixed price for the goods. In one embodiment a set of bids is randomly or quasi-randomly partitioned into two or more groups. An optimal threshold is determined for each group, and this threshold is then used to select winning bids from one or more of the other groups. In another embodiment, each bid is compared to a competing bid that is randomly or quasi-randomly selected from the set of bids. If the bid is less than the randomly-selected competing bid, the bid is rejected. Otherwise, the bid is accepted and the bidder buys the auctioned item at the price of the randomly-selected bid.

Systems and methods for pricing and selling digital goods

Some of the embodiments provided herein disclose receiving a plurality of bids, each bid being submitted by a bidder, and each bid having a bid value; assigning a weighting factor to each bid, the weighting factor being based, at least in part, on the bid value; selecting a first bid from the plurality of bids, the first bid having been submitted by a first bidder; selecting a second bid from the plurality of bids, the second bid being selected in a manner that is dependent, at least in part, on the weighting factor assigned to the second bid; performing a comparison of the value of the first bid with the value of the second bid; using the results of the comparison to determine whether to vend a copy of the digital file to the first bidder; and sending a copy of the digital file to the first bidder.

Growing community of inventors

Monroe Township, NJ, United States of America

Andrew K Wright