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What is SIEM

Encyclopedia of Information Science and Technology, Fourth Edition
Security information and event management system may collect event logs from millions of hardware devices and software applications in an enterprise network.
Published in Chapter:
Challenges for Big Data Security and Privacy
M. Govindarajan (Annamalai University, India)
DOI: 10.4018/978-1-5225-2255-3.ch033
Abstract
Security and privacy issues are magnified by the volume, variety, and velocity of Big Data, such as Large-scale cloud infrastructures, diversity of data sources and formats, the streaming nature of data acquisition and high volume inter-cloud migration. In the past, Big Data was limited to very large organizations such as governments and large enterprises that could afford to create and own the infrastructure necessary for hosting and mining large amounts of data. These infrastructures were typically proprietary and were isolated from general networks. Today, Big Data is cheaply and easily accessible to organizations large and small through public cloud infrastructure. The purpose of this chapter is to highlight the Big Data security and privacy challenges and also presents some solutions for these challenges, but it does not provide a definitive solution for the problem. It rather points to some directions and technologies that might contribute to solve some of the most relevant and challenging Big Data security and privacy issues.
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More Results
Big Data Analytics for Intrusion Detection: An Overview
A software solution that allows to collect, manage and correlate security events generated by several network devices.
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Governance and Risk Management in the Cloud with Cloud Controls Matrix V3 and ISO/IEC 38500:2008
Security information and event management (SIEM) is a term for software products and services that combines security information management and security event management and is mostly tool based technology that provides real-time analysis of information system security alerts.
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Securing Cloud Infrastructure in IaaS and PaaS Environments
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E-Banking Frauds: The Current Scenario and Security Techniques
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