Big Data Privacy Preservation Using Two Phase Top-Down Specialization Algorithm with Multidimensional Map Reduce Framework on Hadoop

Big data privacy preservation is one of the most disturbed issues in current industry. Sometimes the data privacy problems never identified when input data is published on cloud environment. Data privacy preservation in hadoop deals in hiding and publishing input dataset to the distributed environment. In this paper investigate the problem of big data anonymization for privacy preservation from the perspectives of scalability and time factor etc. At present, many cloud applications with big data anonymization faces the same kind of problems. For recovering this kind of problems, here introduced a data anonymization algorithm called Two Phase Top-Down Specialization (TPTDS) algorithm that is implemented in hadoop. For the data anonymization-45,222 records of adults information with 15 attribute values was taken as the input big data. With the help of multidimensional anonymization in map reduce framework, here implemented proposed Two-Phase Top-Down Specialization anonymization algorithm in hadoop and it will increases the efficiency on the big data processing system. By conducting experiment in both one dimensional and multidimensional map reduce framework with Two Phase Top-Down Specialization algorithm on hadoop, the better result shown in multidimensional anonymization on input adult dataset. Data sets is generalized in a top-down manner and the better result was shown in multidimensional map reduce framework by the better IGPL values generated by the algorithm. The anonymization was performed with specialization operation on taxonomy tree. The experiment shows that the solutions improves the IGPL values, anonymity parameter and decreases the execution time of big data privacy preservation by compared to the existing algorithm. This experimental result will leads to great application to the distributed environment.

A System Architecture for Data Storage in the Cloud

The Cloud storage is the most important issue today. This is due to a rapidly changing needs and a huge mass of varied and important data to back up. In this paper, we describe a work in progress and propose a flexible system architecture for data storage in the Cloud. This system is centered on the Data Manager module. This module provides various functions such as the dispersion of data in fragments, encryption and storage of fragments... etc. This architecture proves to be very relevant. It ensures consistency between different components. On the other hand, it ensures the security and availability of data.

An Enhanced Cloud Security using Quantum Teleportation

In the cloud environment, it is difficult to provide security to the monolithic collection of data as it is easily accessed by breaking the algorithms which are based on mathematical computations and on the other hand, it takes much time for uploading and downloading the data. This paper proposes the concept of implementing quantum teleportation i.e., telecommunication + transportation in the cloud environment for the enhancement of cloud security and also to improve speed of data transfer through the quantum repeaters. This technological idea is extracted from the law of quantum physics where the particles say photons can be entangled and encoded to be teleported over large distances. As the transfer of photons called qubits allowed to travel through the optical fiber, it must be polarized and encoded with QKD (Quantum Key Distribution) for the security purpose. Then, for the enhancement of the data transfer speed, qubits are used in which the state of quantum bits can be encoded as 0 and 1 concurrently using the Shors algorithm. Then, the Quantum parallelism will help qubits to travel as fast as possible to reach the destination at a single communication channel which cannot be eavesdropped at any point because, it prevents from creating copies of transmitted quantum key due to the implementation of no-cloning theorem so that the communication parties can only receive the intended data other than the intruders.

About Cloud Forensics: Challenges and Solutions

Cloud computing is gaining wide popularity due to low infrastructure cost and high resource utilization. Cloud can be private or public. Users can store their data and avail cloud sessions on pay-per-use basis. This multi-tenancy support can lead to several problems. Cloud forensics is a cross discipline of cloud computing and digital forensics. It ensures to find out the culprit when there is a security breach. Several techniques are proposed to secure user data and provide legally acceptable evidences in case of cyber crime. This chapter aims at discussing the issues and challenges of cloud forensics and the currently available solutions. Logs are widely accepted as legal evidence of how fraud was perpetrated. Creation and maintenance of logs also poses a number of challenges. This chapter also aims at exploring these challenges and solutions for managing logs.

Comparative Analysis of Nosql Specimen with Relational Data Store for Big Data in Cloud

The massive amount of data collected by various fields is a challenging aspect for analysis using the available storage technologies. Relational databases are a traditional approach of data storage more suitable for structured data formats and are constrained by ACID properties. As the modern world data in the form of word documents, pdf files, audio and video formats is unstructured, where tables and schema definition is not a major concern. Relational databases such as Mysql may not be suitable to serve such Bigdata. An alternate approach is to use the emerging Nosql databases. This paper presents a comparative analysis of Nosql types such as Hbase, Mongodb, Simple DB and Big Table with relational database like Mysql and specifies their limitations when applied to real world problems. It also proposes solution to overcome these limitations using an integrated data store which serve to be beneficial over the mentioned Nosql and Mysql stores in terms of efficiently implementing simple and complex queries yielding better performance.

Cloud Services: Application and its Use in Information Science

The purpose of the paper is to present the different views of how cloud computing is being adopted as a service in the field of Information Science, and the varied services being provided by the Cloud. An online survey was carried out to look for cloud services and its level of penetration in the field of information science as a services provider. Also previous work on the same topic by various researchers was also taken into account as they provided the required impetus for the research process. The study assesses the cloud computing and the use of its services in the field of Information Science, along with few relevant examples of large scale cloud computing services. The finding can be used by the professionals to get basic understanding of the cloud computing and its services for information storage and dissemination.

Using Cloud Computing in Software Firm:A Strategy to Improve Agility in the Current Financial Crisis

Software industry is a growing sector in economy and in the present financial crisis, software firms are facing problems in providing necessary support for research and development activities. The objective of this paper is to find alternatives to the use of IT (information technology) solution of software firm development. Agile development methodologies are very promising in the software industry. Agile development techniques are such a way of developing environment such that it is very practical and viable in understanding the flow of business environment changes constantly. Agile development processes optimize the opportunity provided by cloud computing by doing software releases iteratively and getting user feedback more frequently. The research methodology depends on Cloud Computing as an alternative to IT provision, management and security. It also took into account the best practices for Cloud Computing usage within software firms and software developers experience in IT. The strategy includes five stages, with emphasis on the evaluation of data and processes/functions/applications from several major software firms based on some key criteria, while creating a correspondence between these aspects and the models/services/applications that exist on the Cloud market. The outcome of using Cloud solutions in software firms by improving knowledge is impressive.

Automation of Discovery and Aggregation of Cloud Services

Cloud computing is a technology where IT-related resources are dynamically provided as a service to the customers through Internet. The customer can demand for the services dynamically from Cloud Service Provider (CSP)s, take them on lease based on Service Level Agreement (SLA), release the resources after completion of task and pay for what is used. The required services may not be available from a single CSP. There are many CSPs providing multiple services with different Quality of Service (QoS). The customer has to discover the available services with the expected QoS which is one of the major challenges to be solved in cloud computing today. In this paper we dynamically create a repository of the cloud services and aggregate them whenever there is a demand for service and then derive that the services obtained from the repository are time efficient as compared to direct service discovery.

Research in Cloud Computing-An Overview

Cloud computing is an Internet based resource sharing which trigger broad network access. This cloud computing technology is a new technology which delivers a new model for information and services by means of an existing grid computing technology. Further, this new technology uses Internet infrastructure to communicate between the client and the server side service applications. Apart from this, cloud computing has cloud service provider they offers cloud platform for their customers to create and use web oriented services. The hardware and software resource sharing is possible in cloud with the help of internet and it can be managed and maintained by the third party cloud service provider. The cloud service provider facilitates cloud computing to increase the capacity or add capability, for example without investing in a new infrastructure, training new people or licensing new software. It is packed with a new infrastructure to improve the services like scalability, elasticity, business agility, faster start up time, reduced management cost and availability of resources. This special Internet based shared resource has its own conceptual, technical, economical and user experience characteristics. Nowadays, cloud computing has become one of the most important and popular research areas in the field of computer science. Many open research problems are available in cloud computing and good solutions also been proposed by the researchers by developing new techniques and efficient algorithms. In this paper, a detailed study about cloud computing, its basic concepts, history, virtualization technique, and cloud services are discussed. In addition to this, research issues in cloud computing also discussed.