Abstract: A secure data interchange system enables information about bilateral and multilateral interactions between multiple persistent parties to be exchanged and leveraged within an environment that uses a combination of techniques to control access to information, release of information, and matching of information back to parties. Access to data records can be controlled using an associated price rule. A data owner can specify a price for different types and amounts of information access.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a “target profile” for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a “target profile interest summary” for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a “target profile” for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a “target profile interest summary” for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.

Abstract: Autoband's distributed networking intelligence provides a novel architecture capable of dynamically reconfiguring communications pathways consisting of links whose transmission media are opportunistically and dynamically selectable. At least one constituent node in such automatically configurable transient pathways is mobile, for example, information (source) server, intervening router node(s), gateway server and/or client device. Additionally, Autoband's ad hoc communications pathways may seamlessly and dynamically integrate (i.e., “graft”) into standard fixed node networks such as terrestrial networks, other wireless networks or combinations thereof. These communications may consist of point-to-point or multicast links. An economic market-based approach further assures allocation of available network resources (i.e., bandwidth and processing) needed to achieve the most optimally resource efficient communications pathway configurations for the totality of communications.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a “target profile” for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a “target profile interest summary” for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.

Abstract: An encryption scheme that uses steganography includes an encryption algorithm that encrypts messages by embedding them in a data stream in such a way that an adversary cannot get information about the messages. Since the embedding is the only computation required, this scheme is optimal in computational efficiency. However, since the size of the data stream is large, this scheme is most beneficial when the cost of bandwidth is less expensive than the cost of computation. The scheme embeds the message as specified by a pseudo random generator.

Abstract: We propose a multi user information theoretically secure scheme. Our scheme allows any two parties in a multi user system to exchange messages securely using encryption, and to sign messages. Our scheme achieves a significant saving in the number of total keys in the system and in the keys each user must store. The encryption, and signing algorithms proposed in the scheme are as efficient as possible. Our scheme is designed so that it is possible to easily and efficiently revoke and add membership of new users into the system. It is also designed so that authentication and security against man in the middle attacks can be added at low cost. In addition, we introduce a novel and efficient way to use steganography for key replenishment.

Abstract: A framework for a system that will allow a professional to vastly extend the web of his referral network, by using a centralized matching system that both protects the privacy of his client, and allows a broad range of outside specialists the opportunity to present themselves. In addition to a database that allows the referring professional to gauge the capabilities of the candidates, the system also includes a bidding system such that candidates can offer a small reward (cash or otherwise) in exchange for being given the work.

Abstract: A distributed multi-agent system and method is implemented and employed across at least one intranet for purposes of real time collection, monitoring, aggregation , analysis and modeling of system and network operations, communications, internal and external accesses, code execution functions , network and network resource conditions as well as other assessable criteria within the presently implemented environment. Analytical models are constructed and dynamically updated from the above data sources so as to be able to rapidly identify and characterize conditions within the environment (such as behaviors, events, and functions, which are typically characteristic with that of a normal state and those, which are of an abnormal or potentially suspicious state. The model is further able to implement statistical flagging functions, provide analytical interfaces to system administrators and estimate likely conditions, which characterize the state of the system and the potential threat.

Abstract: It is often the case that a professional, lacking the time or capabilities to provide specialized services to his client, will refer the client to some other professional. Traditionally, this has been done through personal contacts and knowledge of local professional resources. Because the passing on of a client is a professional favor, there are often payments (cash or otherwise) made by the specialist to the referring professional. In the United States referral system, it is not legal to pass on professional favors nor payments at this time and it is conceivable that reformation of current federal medico-legal regulations will occur and that a bidding system may become feasible in the United States.

Abstract: Autoband's distributed networking intelligence provides a novel architecture capable of dynamically reconfiguring communications pathways consisting of links whose transmission media are opportunistically and dynamically selectable. At least one constituent node in such automatically configurable transient pathways is mobile, for example, information (source) server, intervening router node(s), gateway server and/or client device. Additionally, Autoband's ad hoc communications pathways may seamlessly and dynamically integrate (i.e., “graft”) into standard fixed node networks such as terrestrial networks, other wireless networks or combinations thereof. These communications may consist of point-to-point or multicast links. An economic market-based approach further assures allocation of available network resources (i.e., bandwidth and processing) needed to achieve the most optimally resource efficient communications pathway configurations for the totality of communications.

Abstract: We present a method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. More specifically, company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices.

Abstract: The high data transmission capacity of fiber optic networks has been exploited through wavelength division multiplexing, abbreviated WDM. By using multiple independent wavelengths, or lambdas, the fiber can carry a multiplicity of content, each in its own lambda. As the number of lambdas increases (it is currently ca. 100 and is projected to climb to 100,000 or more) it becomes increasingly challenging to allocate lambdas to traffic. The present invention automates the allocation process by detecting similar interests amongst groups of users, and creating a shared lambda for use by the users.

Abstract: Modern medical practitioners face a real risk from frivolous lawsuits initiated by overly litigious patients. Even if innocent of any malpractice, a doctor subject to such lawsuits may experience personal stress and extended periods of time diverted from practice in addition to greatly increased insurance premiums. This patent describes a database system that allows medical professionals to gauge the legal risk presented by new patients, giving them the opportunity to avoid medical involvement with those individuals most prone to engaging in unwarranted legal actions. Other applications of the present system pertain to insurance companies, legal services and other professional service providers.

Abstract: A communications method utilizes memory areas to buffer portions of the media streams. These buffer areas are shared by user applications, with the desirable consequence of reducing workload for the server system distributing media to the user (client) applications. The preferred method allows optimal balancing of buffering delays and server loads, as well as optimal choice of buffer contents for the shared memory buffers.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a “target profile” for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a “target profile interest summary” for each user, which target profile interest summary describes the user's interest level in various types of target objects.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a "target profile" for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a "target profile" for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a "target profile" for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.

Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a "target profile" for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.