Fingerprinting is a technique extensively used by law enforcement to identify criminals when traces are left behind which uniquely match a suspect. Digital fingerprinting is a conceptually similar technique. It canbeused to trace intellectual property infringement on virtual components already

Digital fingerprinting is an important but still challenging aspect of network forensics. This paper introduces an effective way to identify an attacker based on a strong behavioral biometric. We introduce a new passive digital fingerprinting technique based on keystroke dynamics biometrics

-spline control points. We demonstrate through experiments the robustness of our method against various attacks such as collusion, geometric transformation, and printingand-scanning. We also show the feasibility of our method for fingerprinting topographic maps and detecting fingerprints from printed copies. 1.

Unlicensed, or illegal, copying of data is a problem in many areas. Despite various efforts in copy protection and copyright enforcement (both legal and technical), the problem still exists, and with the growing use of digital means of storing and distributing data the problem seems to be getting

A digital fingerprint is user-specific information that is added in each copy of distributed digital data. The fingerprint should not be noticeable to the user. It is used to trace illegal distributing of data. Should the user illegally distribute his copy, the fingerprint in this copy will trace

hiding algorithm against printing-andscanning and collusions, and show its feasibility for collusion-resistant fingerprinting of topographic maps as well as writings/drawings from pen-based input devices. 1.

Abstract — Digital fingerprinting, a copyright protection technique for digital contents, is considered. Digital fingerprinting should deter collusion attacks, where several fingerprinted copies of the same content are mixed to disturb their fingerprints. In this paper, we consider the averaging

This paper discusses methods for assigning codewords for the purpose of fingerprinting digital data (e.g., software, documents, and images). Fingerprinting consists of uniquely marking and registering each copy of the data. This marking allows a distributor to detect any unauthorized copy

The present paper proposes an asymmetric watermarking scheme suitable for fingerprinting and precision-critical applications. The method is based on linear algebra and is proved to be secure under projection attack. The problem of anonymous fingerprinting is also addressed, by allowing a client

We consider the problem of embedding one signal (e.g., a digital watermark), within another "host" signal to form a third, "composite" signal. The embedding is designed to achieve efficient tradeoffs among the three conflicting goals of maximizing information-embedding rate