[PDF] Top 20 Effective Detection of DDOS Based on Big Data MapReduce
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Effective Detection of DDOS Based on Big Data MapReduce
... network based systems (network ...attacks data mining approach can be adopted as a sure shot weapon to these ...our data might be subjected to an ...practical DDOS defense system that can ... See full document
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HadoopWeb: MapReduce Platform for Big Data Analysis
... of data launch in the system with less managing and deploying work is ...internet based computing which enables on- demand access to a shared pool of configurable computing ...computer, effective use ... See full document
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Title: A NOVEL APPROACH FOR PREDICTING PHISHING WEBSITES USING THE MAPREDUCE FRAMEWORK
... and effective approach that is based on using MapReduce framework, classification Data Mining algorithms and cluster ...the data mining algorithms, an efficient and novel approach is ... See full document
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Hypergraph clustering model based association analysis of DDOS attacks in fog computing intrusion detection system
... Fuhong Lin, received his M.S. degree and Ph.D. degree from Beijing Jiaotong University, Beijing, People ’ s Republic of China, in 2006 and 2010, respectively, both in electronics engineering. Now, he is an associate ... See full document
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A Survey on Big Data and DDoS Attack
... any counter measures are done manually. When an attack is reported, offline traffic analysis will be carried out to identify the possible attacks. After identification, new access controls will be set up to filter the ... See full document
6
Title: BIG-DATA ANONYMIZATION USING THE MAPREDUCE ON CLOUD
... large data sets. And here it provides the privacy by effective anonymization ...it’s based on the time and size of the data ...large-scale data anonymization by Top-Down Specialization ... See full document
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The Cost Effective Iterative MapReduce in Big Data Environment Actualized on Hadoop Rayapati Lakshmi Kumar & Mr Chinnam Yuva Raju
... based data driven calculation, Web and interpersonal organization situations, inquiry workloads incorporate impromptu and OLAP inquiries, and in addition iterative calculations that investigate data ... See full document
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The Cost Effective Iterative MapReduce in Big Data Environment K Chandra Sekhar & P Karthik
... of data utilizing existing programming ...proficient data for future use .There are diverse difficulties of Data mining with Big ...present Big Data preparing relies on parallel ... See full document
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A Comprehensive Survey of Technologies for Building a Hybrid High Performance Intrusion Detection System
... in big data, which is due to the increase in the information flow in the ...(log data) generated from networks (volume) and the speed at which the data is generated (velocity) is sufficient to ... See full document
8
Big data clustering with varied density based on MapReduce
... These criteria computed the similarity between the clusters obtained from the evalu- ated algorithms. The results of the proposed algorithm and three other algorithms on the two datasets are shown in Tables 5, 6 and 7 ... See full document
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MAPReduce based Cache Management for Big Data Framework
... scale Big data processing consumes a huge volume of computational power and it is necessary to reserve the critical resources like main memory/Cache for successful process ...for Big data ... See full document
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A Scalable Data Chunk Similarity Based Compression Approach for Efficient Big Sensing Data Processing On Cloud
... Abstract: Big sensing data is generated with high volume and ...a big sensing data processing and storage as it provides a flexible stack of massive computing, storage and software services in ... See full document
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A FUNDAMENTAL CONCEPT OF MAPREDUCE WITH MASSIVE FILES DATASET IN BIG DATA USING HADOOP PSEUDO-DISTRIBUTION MODE.
... We have analyzed the performance of the map reduce task with the increase number of files. We have used the word count application of the Mapreduce for this analysis. The output shows that the Bytes written do not ... See full document
5
Twitter Data Analysis on Natural Disaster Management System
... Data sets having huge volume, high speed and varied data which increases daily are called ...known data management techniques are difficult to apply for ...HADOOP data analysis pack ... See full document
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An Efficient Approach for Processing Big Data with Incremental MapReduce
... few MapReduce APIs are changed or added. Incremental MapReduce is an enhancement in the ...Incremental MapReduce is a task-level coarse-grain incremental processing ...Incremental MapReduce ... See full document
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Intrusion Detection System Based on Data Mining Techniques
... intrusion detection system (IDS) is a software tool that monitors network and/or system activities for malicious activities or policy violations and produces reports to a Management ...Intrusion detection ... See full document
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ANALYSIS OF BIG DATA PROCESSING BY DISTNCT USE OF HADOOP’S MAPREDUCE
... of data warehouses are unable to satisfy the needs of data ...of data sets reliably through HDFS and MapReduce for storing and processing ...and MapReduce and survey the performance of ... See full document
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On Traffic-Aware Partition and Aggregation in Mapreduce for Big Data Applications
... The MapReduce programming model simplifies large-scale data processing on commodity cluster by exploiting parallel map tasks and reduce ...of MapReduce jobs, they ignore the network traffic generated ... See full document
5
Big Data Clustering Using Genetic Algorithm On Hadoop Mapreduce
... We compared the performance of the proposed algorithm with a sequential algorithm. Both the algorithms were executed for a total of 500 iterations with cross-over probability of 6% and mutation probability of 0.25% .The ... See full document
5
Big Data Processing Using Hadoop MapReduce Programming Model
... processing data is a very important ...of data is not sufficient for storing large chunks of database. The data is too big, moves too fast, or doesn’t fit the structures of the current ... See full document
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