Preserving Privacy of Cloud Data Using Homomorphic Encryption

Abstract: Cloud computing is a technology, which enable users to make use of the computational power and storage resources provided by a cloud service providers. However, the presence of sensitive data of users over the cloud such as emails, bank account details, health records, personal photos may cause privacy issues. Data encryption ensures privacy of … Read more

Efficient methods for determining multiple spoofing attacks

ABSTRACT: The Paper proposes to use spatial information, a bodily assets related to each and every node, exhausting to falsify, and now not reliant on cryptography, as the root for detecting spoofing attacks, figuring out the collection of attackers when a couple of adversaries masquerading as the similar node identification and localizing a couple of … Read more

Expression Analysis from sequence of images – a review

Abstract – Inferring expressions from sequence of images is a real challenge and it impacts the recent research in the field of image processing. Communicating intention through facial expressions is easier for a human being but judgment of emotions for a machine is difficult. Facial expression analysis is an intensive research field that aims for … Read more

Allotment of secure data for energetic groups in cloud

ALLOTMENT OF SECURE DATA FOR ENERGETIC GROUPS IN CLOUD ABSTRACT: In the field of infrastructure, the cloud computing technique comprises tremendous growth sections and permits the consumers to make usage of applications lacking installation. For vibrant groups in the cloud, we suppose to merge the group signature and encryption methods of dynamic broadcast. Because of … Read more

LEACH

LEACH is completely distributed, requiring no control information from the base station. Nodes do not require knowledge of the global network. It runs with many rounds. Each round begins with a set up phase. When the clusters are organized, it is followed by a steady state phase when data are transferred from the node to … Read more

Hashing & Pruning

Hashing & Pruning is very popular association rule mining technique to improve the performance of traditional Apriori algorithm. Hashing technique uses hash function to reduce the size of candidate item set. Direct Hashing & Pruning (DHP),Perfect Hashing &Pruning (PHP) are the basic hashing algorithms. Many algorithms have been also proposed by researchers like Perfect Hashing … Read more

Improved Algorithm for Blob Detection in Document Images

Abstract’ With the evolution in the field of image processing, its many application areas have been identified. These areas include Character Recognition, Pattern Matching, Finger Print Recognition, Document Analysis and Verification and many more. All these applications are based on extracting useful information from image. Image objects needs to be detected and extracted in order … Read more

Global Optimization

Global optimization uses that sort of strategies that allow the designer to discriminate between global optimum point and several local optimum points in a specific area under investigation. Global optimization problem generally follows unconstrained optimization i.e., without any bounds. Conventional global optimization methods can generally be classified into two types which are: Deterministic methods Stochastic … Read more

Improving efficiency with Cisco's private cloud offerings

Most of your company’s major technology and business problems can be resolved using private clouds. IT as a service (IaaS) can be delivered by a private cloud that will let you improve efficiency, cut down costs, and bring in novel business strategies to streamline operations and infrastructure by making your organization more alert and organized. … Read more

Using fuzzy logic to analyse blood pressure data

Admitting in expert system and fuzzy logic imprecision in truth. However, Aristotle’s said that is so significant today; the quote that follows uncertainty. It is an admonishment we should need that; we should make balance between with the certainty and uncertainty that exists. This thesis is mainly dedicated to the characterization and quantification of uncertainty … Read more

Analyze, evaluate and compare K-Means and Fuzzy C-Means clustering techniques

  The healthcare industry is the most important industries in the world and is the most complicated and challenging problem. The diagnosis of heart disease is a vital and tedious task in medicine. World Health Organization (WHO) report Global Atlas on cardiovascular disease (CVDs) prevention that CVDs are leading to death, disability and illness in … Read more

Computer forensics

There are few types of investigation methods using for computer forensics Digital forensics is investigation method used for investigating crimes which is related to digital devices such as computer, mobile phones and presenting it to the higher courts accordingly so that legal actions could be taken. Now a days mostly digital devices are using in … Read more

MapReduce for knowledge management

The explosive growth of knowledge is making important challenges for several firms. Challenges embrace physical storage, lack of knowledge quality, and also the escalating prices of managing, storing and process massive, growing information sets. Organizations would like the flexibility to investigate and gain insights from huge amounts of maintained information for a range of business … Read more

Direct methods and knowledge modelling

Direct methods are those that enhance the understanding about the domain obtain directly from the expert through interviews, case studies and prototyping, so the required information is obtained by asking direct questions or from direct observation. While in indirect approach the needed information is not requested directly example are Document analysis, Questionnaires. The benefit of … Read more