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The most efficient attack on symmetric-key systems is an exhaustive key search. A novel encryption method with infinite key space is presented by modify traditional book cipher. Infinite key space means the unbounded entropy of the key space, which can frustrate any exhaustive key search. Moreover, this book cipher is immune from frequency analysis. Experimental results show that both encryption and...
This paper presents a method based on information entropy to analyze the capacity of covert channels. Built upon noninterference, the method is firstly used to calculate the covert channel capacity, then to analyze the factors that have an impact on this quantity. Finally an example is given of the capacity calculation for covert channels in a multilevel secure database.
In this paper the traffic congestion recognition method is studied deeply based on the pattern recognition technology which is well integrates the fuzziness and randomness of linguistic concepts in a unified way, and makes the transforms between qualitative concepts and their quantitative expressions much easier and interchangeable. Moreover, the feasibility and effectiveness of that new method which...
Residuated lattice is an important non-classical logic algebra, and L-fuzzy rough set based on residuated lattice can describe the information with incompleteness, fuzziness and uncomparativity in information system. In this paper, the properties of L-fuzzy rough sets based on residuated lattice are given as the expansion of ref.
In recently years, the Web service composition becomes a new approach of distributed application integration. The time cost of the composed Web service is one of the most concerned characters by users. Due to the long delay and uncertainty of the Internet, the performance prediction becomes a difficult problem for the Web service composition. A novel performance simulation model, called STPM, is presented...
Firstly, the author generalizes the indiscernible relation to similarity relation, gives a definition of lambda-discernibility matrix; secondly, an attribute reduct algorithm of decision table with continuous condition attributes is put forward; thirdly, an algorithm of computing significance of each condition attribute is put forward according to the properties of lambda-discernibility matrix; at...
This paper proposes an improved Grey-Markov forecasting dynamic method based on unbiased grey system theory and fuzzy classification. The new forecasting method is named unbiased Grey-fuzzy-Markov Chain method, which can take advantage of the prediction power of conventional Grey-Markov forecasting method and at the same time eliminate grey bias and improve anti-jamming performance. As an example,...
A variety of cluster analysis techniques exist to group objects having similar characteristics. While there have been recent advances in algorithms for clustering data, some are unable to handle uncertainty in the clustering process while others have stability issues. This paper proposes a new algorithm for clustering data based on rough set theory, which has the ability to handle the uncertainty...
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