Abstract: A watermark encoding system encodes an audio signal with both a strong and a weak watermark. The strong watermark identifies the content producer and is designed to survive all typical kinds of processing and malicious attacks. The weak watermark identifies the content as an original and is designed to be significantly removed as a result of most normal signal processing (other than A/D and D/A). The watermark encoding system has a converter to convert an audio signal into frequency and phase components and a mask processor to determine a hearing threshold for corresponding frequency components. The watermark encoding system also has a pattern generator to generate both the strong and weak watermarks and a watermark insertion unit to selectively insert either the strong or weak watermark into the audio signal. The watermark insertion unit adds the strong watermark to the audio signal when the signal exceeds the hearing threshold by a buffer value (e.g.

Abstract: Methods, systems, devices and/or storage media for passwords. An exemplary method tiles an image, associates an index with each tile and optionally determines offsets for select tiles. Further, the tiling optionally relies on probability and/or entropy. An exemplary password system includes an image; a grid associated with the image, the grid composed of polygons; an index associated with each polygon; and an offset associated with each polygon wherein password identification relies on one or more indices and one or more offsets.

Abstract: Compression and decompression of data such as a sequential list of executable instructions (e.g., program binaries) by uniformly applying a predictive model generated from one segment of the executable list as a common predictive starting point for the other segments of the executable list. This permits random access and decompression of any segment of the executable list once a first segment (or another reference segment) of the executable list has been decompressed. This means that when executing an executable list (e.g., an executable file), a particular segment(s) of the executable list may not need to be accessed and decompressed at all if there are no instructions in that particular segment(s) that are executed.

Abstract: Compressing program binaries with reduced compression ratios. One or several pre-processing acts are performed before performing compression using a local sequential correlation oriented compression technology such as PPM, or one of its variants or improvements. One pre-processing act splits the binaries into several substreams that have high local sequential correlation. Such splitting takes into consideration the correlation between common fields in different instructions as well as the correlation between different fields in the same instruction. Another pre-processing reschedules binary instructions to improve the degree of local sequential correlation without affecting dependencies between instructions. Yet another pre-processing act replaces common operation codes in the instruction with a symbols from a second alphabet, thereby distinguishing between operation codes that have a particular value, and other portions of the instruction that just happen to have the same value.

Abstract: Described herein is a technology for facilitating watermark detection. Spread-spectrum watermarking is a commonly employed technique for hiding data in digital goods (e.g., multimedia signals). Such watermarks may be potentially vulnerable to so-called “watermark estimation-based attacks.” At least one implementation, described herein, is an advancement over the traditional spread-spectrum watermark detector. At least one implementation, described herein, greatly discourages an estimation-based attack by an adversary. At least one implementation, described herein, determines whether a digital good has likely been subjected to an estimation-based attack and, at least, approximately reverses such attack. The scope of the present invention is pointed out in the appending claims.

Abstract: An implementation of a technology is described herein that facilitates rights enforcement of digital goods using watermarks. More particularly, it is a fingerprinting technology for protecting digital goods by detecting collusion as a malicious attack and identifying the participating colluders. If a digital pirate breaks one client and enables this client to avoid watermark detection, all content (both marked/protected an unmarked/free) can be played as unmarked only on that particular client. However, to enable other clients to play content as unmarked, the digital pirate needs to collude the extracted detection keys from many clients in order to create content that can evade watermark detection on all clients. The described implementation significantly improves collusion resistance through a fingerprinting mechanism that can identify the members of a malicious coalition even when their numbers are several orders of magnitude greater than what conventional collusion-protection schemes can accomplish.

Abstract: Described herein is an audio watermarking technology for detecting watermarks in audio signals, such as a music clip. The watermark identifies the content producer, providing a signature that is embedded in the audio signal and cannot be removed. The watermark is designed to survive all typical kinds of processing and all types of malicious attacks that attempt to remove or modify the watermark from the signal. The implementations of the watermark detecting system, described herein, support quick, efficient, and accurate detection of watermarks by the specifically designed watermark detecting system. In one described implementation, a watermark detecting system employs an improved normalized covariance test to determine the presence of a watermark using less expensive materials (hardware), quicker calculations, and a more accurate test (than the original correlation test).

Abstract: Described herein is an audio watermarking technology for detecting watermarks in audio signals, such as a music clip. The watermark identifies the content producer, providing a signature that is embedded in the audio signal and cannot be removed. The watermark is designed to survive all typical kinds of processing and all types of malicious attacks that attempt to remove or modify the watermark from the signal. The implementations of the watermark detecting system, described herein, support quick, efficient, and accurate detection of watermarks by the specifically designed watermark detecting system. In one described implementation, a watermark detecting system employs an improved normalized covariance test to determine the presence of a watermark using less expensive materials (hardware), quicker calculations, and a more accurate test (than the original correlation test).