<p>Compression technique is adopted to solve various big data problems such as storage and transmission. The growth of cloud computing and smart phone industries has led to generation of huge volume of digital data. Digital data can be in various forms as audio, video, images and documents. These digital data are generally compressed and stored in cloud storage environment. Efficient storing and retrieval mechanism of digital data by adopting good compression technique will result in reducing cost. The compression technique is composed of lossy and lossless compression technique. Here we consider Lossless image compression technique, minimizing the number of bits for encoding will aid in improving the coding efficiency and high compression. Fixed length coding cannot assure in minimizing bit length. In order to minimize the bits variable Length codes with prefix-free codes nature are preferred. However the existing compression model presented induce high computing overhead, to address this issue, this work presents an ideal and efficient modified Huffman technique that improves compression factor up to 33.44% for Bi-level images and 32.578% for Half-tone Images. The average computation time both encoding and decoding shows an improvement of 20.73% for Bi-level images and 28.71% for Half-tone images. The proposed work has achieved overall 2% increase in coding efficiency, reduced memory usage of 0.435% for Bi-level images and 0.19% for Half-tone Images. The overall result achieved shows that the proposed model can be adopted to support ubiquitous access to digital data.</p>
This paper analyzes the possible security threats in the wireless sensor network (WSN) through the path based metrics. Since the routing in WSN focuses towards the energy optimizing by which an optimal path is selected which consumes less energy. However security is also very important in WSN which won't considers in the optimal path selection. This paper analyzes the possible security threats based on the characteristics of paths. A simple comparative analysis is carried out in this paper between different topologies of network through the path based metrics. Since there exists number of path metrics, some metrics are categorized as decisive and some are assistive and based on the obtained count, one network topology is finalized as more secure. Matlab is used for the Realization of this methodology.
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