Abstract: Systems (1000, 200, 300, 400, 500) and network communication devices (100) enable originators and custodians (190) of potentially private or otherwise sensitive data to control access to and/or use of such data by others for social, economic, and other purposes. Such originators are enabled to consent to sharing of specific items of personal or other sensitive data, for desired purposes and under specified conditions, and can be entitled to incentives for sharing data in their control. Brokers or other managers of such sharing are enabled to generate and store records of consents given by such originators or custodians, and to access such records as needed in order to verify that valid consents were given prior to release of potentially private or sensitive data.

Abstract: A system and method of detecting undesired email containing image-based messages employs a statistical analysis process which identifies and assigns probability values to the presence of each of a pre-selected set of text-related characteristics of an email under consideration and to the presence of each of a pre-selected set of image-related characteristics of the email under consideration. The identified characteristics and their associated probability values are used to determine whether the email is undesired. In one embodiment, the identification and assignment of probability values is a Bayesian analysis and, preferably, a Statistical Token Analysis. The system and method can identify undesired emails which contain images having messages, generally in the form of text in the image.

Abstract: A system and method of detecting undesired email containing image-based messages employs a statistical analysis process which identifies and assigns probability values to the presence of each of a pre-selected set of text-related characteristics of an email under consideration and to the presence of each of a pre-selected set of image-related characteristics of the email under consideration. The identified characteristics and their associated probability values are used to determine whether the email is undesired. In one embodiment, the identification and assignment of probability values is a Bayesian analysis and, preferably, a Statistical Token Analysis. The system and method can identify undesired emails which contain images having messages, generally in the form of text in the image.