Toward Detecting Compromised MapReduce Workers Through Log Analysis

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Provided by: Pennsylvania State Employees Credit Union
Topic: Big Data
Format: PDF
MapReduce is a framework for performing data intensive computations in parallel on commodity computers. When MapReduce is carried out in distributed settings, users maintain very little control over these computations, causing several security and privacy concerns. MapReduce activities may be subverted or compromised by malicious or cheating nodes. In this paper, the authors focus on the analysis and detection of attacks launched by malicious or misconfigured nodes, which may tamper with the ordinary functions of the MapReduce framework.
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