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--- teaching:mfe:is [2015/05/08 09:23]
svsummer [Compiling SPARQL queries into machine code]
+++ teaching:mfe:is [2015/05/08 09:27]
svsummer
@@ Line 24: / Line 24: @@
   * 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
+=====  Complex Event Processing for Security Analytics=====
-  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
+As noted by [[http://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."
-  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
+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.
-  "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?*
+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.
-   - Contact :  [[svsummer@ulb.ac.be][Stijn Vansummeren]]
+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 : [[stijn.vansummeren@ulb.ac.be|Stijn Vansummeren]]
+**Status**: available
-   *Status*: available
 ===== Compiling SPARQL queries into machine code =====