Abstract Using P-S-R Model as a framework, this paper selects fifteen typical indicators for evaluating coal mine ecological security, including employee number, raw coal production, industrial waste water discharge and so on, constructs an ecological security evaluation model for coal mining areas based on fuzzy c-means algorithm, collects data of ecological security in a coal mining company in Zhengzhou from 2007 to 2013, processes... Using P-S-R Model as a framework, this paper selects fifteen typical indicators for evaluating coal mine ecological security, including employee number, raw coal production, industrial waste water discharge and so on, constructs an ecological security evaluation model for coal mining areas based on fuzzy c-means algorithm, collects data of ecological security in a coal mining company in Zhengzhou from 2007 to 2013, processes the data in the evaluation model, and obtains results of ecological security in the recent seven years. In order to test the validity of the evaluative results obtained from the model, an important subsidiary’s net assets per share data from 2007 to 2013 have been analyzed. Through test and analysis of the results of the model, a proposal to improve ecological security in the coal mining area has been put forward. Read More Read Less

Abstract Due to widespread growth of cloud technology, virtual server accomplished in cloud platform may collect useful data from a client and then jointly disclose the client’s sensitive data without permission. Hence, from the perspective of cloud clients, it is very important to take confident technical actions to defend their privacy at client side. Accordingly, different privacy protection techniques have been presented in the... Due to widespread growth of cloud technology, virtual server accomplished in cloud platform may collect useful data from a client and then jointly disclose the client’s sensitive data without permission. Hence, from the perspective of cloud clients, it is very important to take confident technical actions to defend their privacy at client side. Accordingly, different privacy protection techniques have been presented in the literature for safeguarding the original data. This paper presents a technique for privacy preservation of cloud data using kronecker product and Bat algorithm-based coefficient generation. Overall, the proposed privacy preservation method is performed using two important steps. In the first step, PU co-efficient is optimally found out using PUBAT algorithm with new objective function. In the second step, input data and PU co-efficient is then utilized for finding the privacy protected data for further data publishing in cloud environment. For the performance analysis, the experimentation is performed with three datasets namely, cleveland, switzerland and Hungarian and evaluation is performed using accuracy and DBDR. From the outcome, the proposed algorithm obtained the accuracy of 94.28% but the existing algorithm obtained only the 83.64% to prove the utility. On the other hand, the proposed algorithm obtained DBDR of 35.28% but the existing algorithm obtained only 12.89% to prove the privacy measure. Read More Read Less

Abstract In this paper a complex encryption methodology has been employed to perform a high level data security. Here a two level encryption technique has been described. In first level a pattern matching array has been created in such a way such that all possible combination of any 4 bits sequences are present there. By using this pattern matching array the positional value of... In this paper a complex encryption methodology has been employed to perform a high level data security. Here a two level encryption technique has been described. In first level a pattern matching array has been created in such a way such that all possible combination of any 4 bits sequences are present there. By using this pattern matching array the positional value of the secret message has been identified and in second level the positional value has been embedded into the LSB of the cover file. This technique is independent of the size of the text message and message retrieved in the receiving end is totally lossless .The quality of the proposed method is evaluated by using two factors Means square error(MSE) and signal to noise ratio(SNR) and finally a comparison has been done with different traditional steganography techniques. According to different experimental results and the comparison our method is extremely efficient in terms of encryption and the size of the text. Read More Read Less