Sri Sai Solutions

Displaying 1-4 of 4 results

  • White Papers // Dec 2012

    Predictive Data Mining for Highly Imbalanced Classification

    The paper addresses some theoretical and practical aspects of data mining, focusing on predictive data mining, where two central types of prediction problems are discussed: classification and regression. Further accent is made on predictive data mining, where the time-stamped data greatly increase the dimensions and complexity of problem solving. The...

    Provided By Sri Sai Solutions

  • White Papers // Mar 2010

    A Distributed k-Secure Sum Protocol for Secure Multi-Party Computations

    Secure sum computation of private data inputs is an interesting example of Secure Multiparty Computation (SMC) which has attracted many researchers to devise secure protocols with lower probability of data leakage. In this paper, the authors provide a novel protocol to compute the sum of individual data inputs with zero...

    Provided By Sri Sai Solutions

  • White Papers // Feb 2010

    Changing Neighbors K Secure Sum Protocol for Secure Multi Party Computation

    Secure sum computation of private data inputs is an important component of Secure Multi-party Computation (SMC).In this paper, the authors provide a protocol to compute the sum of individual data inputs with zero probability of data leakage. In their proposed protocol they break input of each party into number of...

    Provided By Sri Sai Solutions

  • White Papers // Feb 2010

    A Modified Ck-Secure Sum Protocol for Multi-Party Computation

    Secure Multi-Party Computation (SMC) allows multiple parties to compute some function of their inputs without disclosing the actual inputs to one another. Secure sum computation is an easily understood example and the component of the various SMC solutions. Secure sum computation allows parties to compute the sum of their individual...

    Provided By Sri Sai Solutions

  • White Papers // Dec 2012

    Predictive Data Mining for Highly Imbalanced Classification

    The paper addresses some theoretical and practical aspects of data mining, focusing on predictive data mining, where two central types of prediction problems are discussed: classification and regression. Further accent is made on predictive data mining, where the time-stamped data greatly increase the dimensions and complexity of problem solving. The...

    Provided By Sri Sai Solutions

  • White Papers // Mar 2010

    A Distributed k-Secure Sum Protocol for Secure Multi-Party Computations

    Secure sum computation of private data inputs is an interesting example of Secure Multiparty Computation (SMC) which has attracted many researchers to devise secure protocols with lower probability of data leakage. In this paper, the authors provide a novel protocol to compute the sum of individual data inputs with zero...

    Provided By Sri Sai Solutions

  • White Papers // Feb 2010

    A Modified Ck-Secure Sum Protocol for Multi-Party Computation

    Secure Multi-Party Computation (SMC) allows multiple parties to compute some function of their inputs without disclosing the actual inputs to one another. Secure sum computation is an easily understood example and the component of the various SMC solutions. Secure sum computation allows parties to compute the sum of their individual...

    Provided By Sri Sai Solutions

  • White Papers // Feb 2010

    Changing Neighbors K Secure Sum Protocol for Secure Multi Party Computation

    Secure sum computation of private data inputs is an important component of Secure Multi-party Computation (SMC).In this paper, the authors provide a protocol to compute the sum of individual data inputs with zero probability of data leakage. In their proposed protocol they break input of each party into number of...

    Provided By Sri Sai Solutions