The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform
V, Durga Devi - One of the best experts on this subject based on the ideXlab platform.
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ENCRYPTION METHOD USING PASCAL’S Triangle BASED SUBSTITUTION AND SIERPINSKI Triangle BASED PERMUTATION
'CIRWOLRD', 2016Co-Authors: T Sivakumar, K.t Pauvithraa, V, Durga DeviAbstract:Text messages are often created, shared and a person sends at least ten messages a day. Because of its frequent usage those messages are not been encrypted. Thus it is unable to send confidential messages via SMS service. In this paper, we develop a new encryption technique using the notions of Pascals Triangle and Sierpinski Triangle. The proposed method uses the Pascals Triangle for substitution and Sierpinski Triangle for permutation. The method is simple and easy to implement in real time. It is difficult for the attackers to predict the original message contained in the ciphertext. The proposed method is not much vulnerable to brute force and letter frequency attacks
T Sivakumar - One of the best experts on this subject based on the ideXlab platform.
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ENCRYPTION METHOD USING PASCAL’S Triangle BASED SUBSTITUTION AND SIERPINSKI Triangle BASED PERMUTATION
'CIRWOLRD', 2016Co-Authors: T Sivakumar, K.t Pauvithraa, V, Durga DeviAbstract:Text messages are often created, shared and a person sends at least ten messages a day. Because of its frequent usage those messages are not been encrypted. Thus it is unable to send confidential messages via SMS service. In this paper, we develop a new encryption technique using the notions of Pascals Triangle and Sierpinski Triangle. The proposed method uses the Pascals Triangle for substitution and Sierpinski Triangle for permutation. The method is simple and easy to implement in real time. It is difficult for the attackers to predict the original message contained in the ciphertext. The proposed method is not much vulnerable to brute force and letter frequency attacks
K.t Pauvithraa - One of the best experts on this subject based on the ideXlab platform.
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ENCRYPTION METHOD USING PASCAL’S Triangle BASED SUBSTITUTION AND SIERPINSKI Triangle BASED PERMUTATION
'CIRWOLRD', 2016Co-Authors: T Sivakumar, K.t Pauvithraa, V, Durga DeviAbstract:Text messages are often created, shared and a person sends at least ten messages a day. Because of its frequent usage those messages are not been encrypted. Thus it is unable to send confidential messages via SMS service. In this paper, we develop a new encryption technique using the notions of Pascals Triangle and Sierpinski Triangle. The proposed method uses the Pascals Triangle for substitution and Sierpinski Triangle for permutation. The method is simple and easy to implement in real time. It is difficult for the attackers to predict the original message contained in the ciphertext. The proposed method is not much vulnerable to brute force and letter frequency attacks
Huang Ran - One of the best experts on this subject based on the ideXlab platform.
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A Triangular Array of the Counts of Natural Numbers with the Same Number of Prime Factors (Dimensions) Within 2n Space
2014Co-Authors: Huang RanAbstract:By defining the dimension of natural numbers as the number of prime factors, all natural numbers smaller than 2^(n+1) (n is a natural number) can be classified by their dimensions, and the count of numbers of each dimension gives a dimensions distribution directly related to the distribution of prime numbers. A Triangle similar to Pascals Triangle from some aspects can be obtained by the ensemble of dimensions distributions. Some superficial explorations have been done to this interesting Triangle.Comment: 13 pages, 8 figure
M Geethalakshmi - One of the best experts on this subject based on the ideXlab platform.
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a fuzzy approach to find the shortest path using Pascals Triangle graded mean
International journal of scientific research, 2015Co-Authors: Praveen A Prakash, M GeethalakshmiAbstract:This paper deals with an investigation of finding the Fuzzy Shortest Path in the Network using Pascal's Triangle Graded Mean Integration Representation. Here the trapezoidal fuzzy numbers are taken as edge weights and the optimum shortest path was found by comparing the fuzzy distance among all adjacent nodes using fuzzy order relation. Finally we arrive at the smallest fuzzy distance which gives the fuzzy shortest path for the given network by giving suitable numerical example. One of the most common fundamental problems in network theory is finding the shortest paths in a network. Shortest-Path Problems play an important role in routing messages efficiently in network. This shortest path problem determines the distance of the shortest route between a source node and a destination node in a transportation network. The numbers associated with the edges of networks may represent characteristics other than lengths, and we may want the optimum path, where optimum path can be found by using different criteria. The fuzzy short - est path problem was first analyzed using Floyd's algorithm by Dubois and Prade (3). Here we consider as numerical example, the fuzzy shortest path problem as a directed graph where the edge weights of the network are trapezoidal fuzzy numbers as uncertain; which means that it is either imprecise or unknown. Shinkoh Okada and Mitsuo Gen (7) introduced fuzzy shortest problem with the help of Dijkstra's method in the year 1994. In 1998, Lotfi.A.Zadeh (12) introduced the concept of fuzzy set theory in the year 1965. Chen and Hsieh (9,10) proposed fuzzy graded mean integration representation. In this proposed meth- od the graded mean integration of Pascal's Triangle was intro- duced for computing fuzzy shortest path with the help of fuzzy distance and trapezoidal fuzzy numbers. This paper consists of five sections: First section is the introduction part, Second sec- tion defines the methodologies used in this paper, Third section explains the algorithm or the working rule of this method, iden- tifying shortest path by giving suitable numerical example in the Fourth section and finally the conclusion based on our study is given in the fifth section.