Showing 25–36 of 74 results
Deduplication on Encrypted Big Data in Cloud Abstract?Cloud computing offers a new way of service provision by re-arranging various resources over the Internet. The most important and popular cloud service is data storage. In order to preserve the privacy of data holders, data are often stored in cloud in an encrypted form. However, encrypted data…
DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data Abstract-In the first place, affording secure and efficient big data aggregation methods is very attractive in the field of wireless sensor networks (WSNs) research. In real settings, the WSNs have been broadly applied, such as target tracking and environment remote monitoring. However, data can…
Distributed Storage Design for Encrypted Personal Health Record Data Abstract? DSePHR is proposed in this work in order to manage the encrypted PHR data on a cloud storage. HBase and Hadoop are utilized in this work. The objective is to provide an API for any PHR system to upload/download the encrypted PHR data from a…
Effective Features to Classify Big Data Using Social Internet of Things Abstract-Social Internet of Things (SIoT) supports many novel applications and networking services for the IoT in a more powerful and productive way. In this paper, we have introduced a hierarchical framework for feature extraction in SIoT big data using map-reduced framework along with a…
Efficient Image Geotagging Using Large Databases Abstract? There are now billions of images stored on photo sharing websites. These images contain visual cues that reflect the geographical location of where the photograph was taken (e.g. New York City). Linking visual features in images to physical locations has many potential applications, such as tourism recommendation systems….
Efficient Recommendation of De-identification Policies using MapReduce Abstract-Many data owners are required to release the data in a variety of real world application, since it is of vital importance to discovery valuable information stay behind the data. However, existing re-identification attacks on the AOL and ADULTS datasets have shown that publish such data directly may…
FastRAQ: A Fast Approach to Range-Aggregate Queries in Big Data Environments Abstract? FastRAQ: A Fast Approach to Range-Aggregate Queries in Big Data Environments. Range-aggregate queries are to apply a certain aggregate function on all tuples within given query ranges. Existing approaches to range-aggregate queries are insuf?cient to quickly provide accurate results in big data environments….
New inverter control for balancing stand alone micro-gridphase voltages:Are view on MG power quality improvement Abstract?Traditional parallel algorithms for mining frequent itemsets aim to balance load by equally partitioning data among a group of computing nodes. We start this study by discovering a serious performance problem of the existing parallel Frequent Itemset Mining algorithms. Given…
FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce Abstract? Existing parallel mining algorithms for frequent itemsets lack a mechanism that enables automatic parallelization, load balancing, data distribution, and fault tolerance on large clusters. As a solution to this problem, we design a parallel frequent itemsets mining algorithm called FiDoop using the MapReduce programming model. To…
Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework Abstract-Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes large. Finding top-k dominant values in this type of dataset is a challenging…
Game Theory Based Correlated Pr ivacy Preser ving Analysis in Big Data Abstract-Privacy preservation is one of the greatest concerns in big data. As one of extensive applications in big data, privacy preserving data publication (PPDP) has been an important research field. One of the fundamental challenges in PPDP is the trade-off problem between privacy…
GroRec: A Group-centric Intelligent Recommender System Integrating Social, Mobile and Big Data Technologies Abstract?An extensive integration of cyber, physical and social spaces has been occurring. Cyber-Physical-Social Systems (CPSSs) have become the basic paradigm of evolution in the information industry. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation…
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