This work denote the implementation of various techniques for detection of range and shape of tumor in brain MR images and identifies stage of tumor from the given area of tumor. Existing work in developed countries prove that the numbers of people who have brain tumors were died due to the fact of inaccurate detection. After researching a lot statistical analysis which is based on those people whose are affected in brain tumor some general Risk factors and Symptoms have been discovered. The development of technology in science day night tries to develop new methods of treatment. This image is visually defined by the physician for detection & diagnosis of brain tumor. However this method accurate determines the accurate of stage & size of tumor and identifies stage of tumor from the area of tumor. This work uses segmentation of brain tumor based on the k-means clustering and fuzzy c-means clustering.This technique helps for the segmentation of tumor with accuracy compare to manual segmentation. It also reduces the time for analysis and finds the stage of tumor from the given area of tumor.

Image watermarking is a process of embedding secret information into cover image to secure transmission of secret data. Literature presents several image watermarking techniques are based on different transformation such as, wavelet transform, Fourier transform and cosine transform. Most of the authors have been developed an embedding and extraction algorithm newly with the transformed image. Then, the optimal location for embedding the secret data was identified by using optimization algorithm. Accordingly, the authors have developed an optimal robust watermarking technique using genetic algorithm and wavelet transform. In the previous work, watermarks were embedded into the wavelet coefficients of HL and LH band after searching the optimal locations in order to improve both quality of watermarked image and robustness of the watermark. In this work, the authors have developed to improve the genetic algorithm by combining it with Artificial Bee Colony algorithm (ABC Algorithm). Here, they have used hybrid algorithm for finding of optimal location in watermarking process. Finally, the comparative evaluation of the hybrid algorithm will be done with the existing and previous technique using different images and the performance of the extended algorithm will be analyzed using the PSNR, NC with convergence rate.

In Today's world there is an increase in the prevalence of diabetes mellitus and therefore the disease is recognising as a major global public health problem.medical data mining extracts hidden patterns from medical data. This is to design system for diabetes prediction.. The soft computing technique is most useful and powerful technique used for diagnosis purpose. The proposed system a novel approach for diagnosis of diabetes which has two stages to predict the diabetes status. Initial Stage we are using Gaussian kernel function which help to distribution of data and second stage adopt two computational intelligence and knowledge engineering technique such as fuzzy logic and neural network. The benefit applying these is that accuracy of prediction rate will be higher than most of the suggested system for predicting the occurrence of diabetes mellitus. The dataset used for the Experimental is based on Pima Indian Dataset from University of California.

Now a day, the web search engine becomes a very important gateway for common people looking for useful information on the internet but due to the dynamic nature of the web, it is difficult to find the relevant documents to fulfill user requirements. For this purpose, search engine maintains the index of documents stored in the repository. When a user enters a query search engine searches the index in order to find the relevant documents to fulfill user requirements. The query topic relevance depends on the information stored in the index. The performance of search engine is depends on the powerful structure of the index. Generally, inverted index are based on the frequency of keywords present in number of documents. An improved indexing mechanism to index the web documents is being proposed to improve the efficiency of the search engine that keeps the topic id along with the document id and also inverted index for ancestors in the (term, d, t) form. The structure is implemented using Trie structure. The proposed method will efficiently store the documents and will make the search fast.

Distributed Denial of Service attacks is major threats these days over internet applications and web services. These attacks moving forward towards application layer to acquire and waste maximum CPU cycles. By requesting resources from web services in huge amount using rapid fire of requests, attacker automated programs utilizes all the capability of processing of single server application or distributed environment application. The phases of the scheme implementation are user behavior monitoring and detection. In first phase by gathering the information of user behavior and calculating individual user"s trust score will take place and Entropy of the same user will be calculated. Based on first phase, in detection phase, variation in entropy will be observed and malicious users will be detected. Rate limiter is also introduced to stop or downgrade serving the malicious users This paper presents the FAÇADE layer for detection and blocking the unauthorized user from attacking the system.