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Many organizations have great deal of confidential information which is stored on computers. Such information is desired to be kept securely yet giving a convenience of accessibility from any part of the world. For data security, one can use an encrypting file system such as eCryptfs [1], dmCrypt [2], File Vault [3]. However these encrypting file systems do not address the problem of accessing files over network from public computers. In this case the public host, the actual FileServer host and the network between them are vulnerable to many attacks. This paper discusses the major problems and proposes a solution for the same using TransCrypt [4] encrypting file system. It also describes how the proposed solution can be implemented on a Linux-based environment. [ABSTRACT FROM AUTHOR]

A Sparse Distributed Memory (SDM) is a kind of associative memory suitable to work with high-dimensional vectors of random data. This memory model is attractive for Robotics and Artificial Intelligence, for it is able to mimic many characteristics of the human long-term memory. However, sensorial data is not always random: most of the times it is based on the Natural Binary Code (NBC) and tends to cluster around some specific points. This means that the SDM performs poorer than expected. As part of an ongoing project, in which we intend to navigate a robot using a sparse distributed memory to store sequences of sensorial information, we tested different methods of encoding the data. Some methods perform better than others, though some may fade particular characteristics present in the original SDM model. [ABSTRACT FROM AUTHOR]