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teaching:mfe:is [2015/04/20 16:20] tcalders |
teaching:mfe:is [2015/05/08 09:23] svsummer [Compiling SPARQL queries into machine code] |
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| Our laboratory performs collaborative research with Euranova R&D (http://euranova.eu/). The list of subjects proposed for this year by Euranova can be found | Our laboratory performs collaborative research with Euranova R&D (http://euranova.eu/). The list of subjects proposed for this year by Euranova can be found | ||
| - | {{:teaching:mfe:mt2014_euranova.pdf|here}} | + | {{:teaching:mfe:master_thesis_euranova_2015.pdf|here}} |
| These subject include topics on distributed graph processing, processing big data using Map/Reduce, cloud computing, and social networks. | These subject include topics on distributed graph processing, processing big data using Map/Reduce, cloud computing, and social networks. | ||
| * Contact : [[ezimanyi@ulb.ac.be|Esteban Zimanyi]] | * Contact : [[ezimanyi@ulb.ac.be|Esteban Zimanyi]] | ||
| + | ** Complex Event Processing for Security Analytics | ||
| + | |||
| + | As noted by [[home.deib.polimi.it/cugola/Papers/cep_survey.pdf][Cugola and Magara]], "an increasing number of distributed | ||
| + | applications requires processing continuously flowing data | ||
| + | ("events") from geographically distributed sources at unpredictable | ||
| + | rates to obtain timely responses to complex queries. Examples of | ||
| + | such applications come from the most disparate fields: from fraud | ||
| + | detection to network intrusion detection systems, from wireless | ||
| + | sensor networks to financial tickers, from traffic management to | ||
| + | click-stream inspection." | ||
| + | |||
| + | These requirements have led to the development of a number of | ||
| + | systems specifically designed to process information as a flow (or a | ||
| + | set of flows) of continues data "events" according to a set of | ||
| + | pre-deployed processing rules. Despite having a common goal, these | ||
| + | systems differ in a wide range of aspects, including architecture, | ||
| + | data models, rule and pattern languages, and processing | ||
| + | mechanisms. In part, this is due to the fact that they were the | ||
| + | result of the research efforts of different communities, each one | ||
| + | bringing its own view of the problem and its background to the | ||
| + | definition of a solution. | ||
| + | |||
| + | The master thesis is put forward in the context of the SPICES | ||
| + | "Scalable Processing and mIning of Complex Events for | ||
| + | Security-analytics" research project, funded by Innoviris. The | ||
| + | objective of this master thesis is to survey the existing systems | ||
| + | and compare the strengths and weaknesses when they are applied | ||
| + | specifically to the context detecting security breaches (network | ||
| + | intrusion, fraud detection, ...), and help, as part of the research | ||
| + | project, in the design & implementation of a new system that | ||
| + | overcomes these weaknesses. | ||
| + | |||
| + | *Interested?* | ||
| + | - Contact : [[svsummer@ulb.ac.be][Stijn Vansummeren]] | ||
| + | |||
| + | *Status*: available | ||
| ===== Compiling SPARQL queries into machine code ===== | ===== Compiling SPARQL queries into machine code ===== | ||