[PDF] Top 20 Title: BIG-DATA ANONYMIZATION USING THE MAPREDUCE ON CLOUD

... Generally, Top-Down Specialization (TDS) is an iterative process starting from the Top most domain values in the taxonomy trees of attributes. Each round of iteration consists of three main steps, namely, finding the ... See full document

... by data like the air. The exponential growth of data first presented challenges to cutting-edge businesses such as whatsapp, Google, Yahoo, Amazon, Microsoft, Facebook, Twitter ...etc. Data volumes ... See full document

... Such data is subjected to, be abused by internal and external ...Many anonymization techniques came into ...preserving data mining algorithms cannot work for big data analytics, as such ... See full document

... Early interest in huge information analytics centered totally on business and social information sources, like e- mail, videos, tweets, Facebook posts, reviews, and net behavior. The scope of interest in huge information ... See full document

... “utility-based anonymization using local ...the data by using the identifier attribute namely, ...anonymized data but this technique is use the categorized ...of data, and it ... See full document

... top-down anonymization approaches because it ensures to find minimally anonymized data ...a data set does not satisfy a privacy model, we can infer that any of its subsets will fail to satisfy the ... See full document

... with cloud on account of privacy and security protection [1][2] ...Individual data sets like electronic and finance managing records are commonly esteemed uncommonly touchy however this data can give ... See full document

... In big data applications, data privacy is one of the most concerned issues because processing large-scale privacy- sensitive data sets often requires computation power provided by public ... See full document

... Abstract: Big data refers to the organizational data asset that exceeds the volume, velocity, and variety of data typically stored using traditional structured database ...of ... See full document

... single MapReduce job is inadequate to accomplish a complex task in many ...of MapReduce jobs are orchestrated in a driver program to achieve such an ...anonymous data as the centralized TDS in [3], ... See full document

... requirements. Cloud also gives the user the ability to supply more machines when needed as long as it is not reaching the physical upper limits of the underlying host ...on MapReduce job profiles and high ... See full document

... anonymized data and obtain useful results for the Human Factors ...of anonymization were learned and anonymized data sets want to be carefully analysed to determine whether they are exposable to ... See full document

... preserving data analysis and data publishing are becoming serious problems in today’s ongoing ...of data anonymization techniques are ...approach using MapReduce are applied on ... See full document

... VoIP stands for Voice over Internet Protocol that uses internet or other data network rather than using conventional Public Switched Telephone Network (PSTN). A rapid growth has been seen in use of internet ... See full document

... communities. Cloud computing provides massive computation power and storage capacity which enable users to deploy ...applications. Big data is a broad term used for large and complex dataset that ... See full document

... files. Data files consist of records, each of which can be treated as a key- value ...Input data is partitioned and processed by Map processes, and their processing results are shaped into key-value pairs ... See full document

... In order to access cache items, the mapper and reducer tasks first send requests to the cache manager. However, this cannot be implemented in Mapper and Reducer classes. Hadoop framework fixes the interface of Mapper ... See full document

... Motivated by the learning theory, Blum et al. [6] present a privacy model called distributional privacy for a non-interactive query model. The key idea is that when a data table is drawn from a distribution, the ... See full document

... that using the concept of Hadoop Distributed File System (HDFS) the each node having its own set of population performs better by convergence fitness and faster IO ... See full document

... Apriori algorithm [3] is a key to association rule mining [2], an algorithm that gener- ates rules that relate set of items based on their frequencies of occurrences in a mar- ket basket transaction database. Apriori ... See full document