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What is IPS

Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence
Intrusion Prevention Systems are a subset of IDS that besides the detection of malicious activity can also block that activity from occurring.
Published in Chapter:
Security and Privacy Issues of Big Data
José Moura (Instituto Universitário de Lisboa, Portugal & Instituto de Telecomunicações, Portugal) and Carlos Serrão (Instituto Universitário de Lisboa, Portugal & Information Sciences, Technologies and Architecture Research Center, Portugal)
DOI: 10.4018/978-1-4666-8505-5.ch002
Abstract
This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.
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Masking and Tracklet Building for Space Debris and NEO Observations: The Slovak Image Processing Pipeline
Image processing system, the whole space debris observations processing software package uniting all IPEs to work in coordinated way.
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Non-Invasive Personalized In-Store Location-Based Marketing: A Practical Use Case
Indoor positioning system, a technological equipment that allows to perform localization indoors.
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