Abstract: An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.

Abstract: An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.

Abstract: An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.

Abstract: An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.

Abstract: A computer system is adapted to predict the likelihood, temporal (or developmental) state, possible location(s), rate of spread or “infectiousness”, etc. of a potential epidemic. A wide and diverse range of inputs and associated parameters are inputted into the system some of which may be statistically correlatable with certain hidden states including those which are temporally oriented disease stages of progression as well as other types of attributes. A Dynamic Bayesian Belief Network or other adaptive or machine learning method is used for the probabilistic analysis. The system statistically analyzes and reanalyzes the totality of all recently updated information (and within the context of all past information), as can efficiently be modeled by the Dynamic Bayesian Belief Network or other adaptive or machine learning method to provide updated predictions and to suggest a recommended reactive protocol to an epidemic.

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: 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: We propose an encryption scheme which uses steganography. The encryption algorithm 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 requires 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. Therefore, the scheme's security is based on a new weak assumption base on the pseudo random generator which we introduce.