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Automatic Rule Generation Based on Genetic Programming for Event Correlation [chapter]

G. Suarez-Tangil, E. Palomar, J. M. de Fuentes, J. Blasco, A. Ribagorda
2009 Advances in Intelligent and Soft Computing  
We present a novel approach for automatic generation of security event correlation rules based on Genetic Programming which has been already used at sensor level.  ...  Event correlation becomes then essential. Basically, security event correlation pulls together detection, prevention and reaction tasks by means of consolidating huge amounts of event data.  ...  First Approach: Rule as an ERC Let's specify first the resultant work we are looking for. We want our genetic program to automatically generate valid directives for the OSSIM correlator engine.  ... 
doi:10.1007/978-3-642-04091-7_16 dblp:conf/cisis-spain/Suarez-TangilPFAR09 fatcat:zlmndxl2e5cyzhp5f6ll27eogm

Providing SIEM systems with self-adaptation

Guillermo Suarez-Tangil, Esther Palomar, Arturo Ribagorda, Ivan Sanz
2015 Information Fusion  
In particular, our enhanced correlation engine automatically learns and produces correlation rules based on the context for different types of multi-step attacks using genetic programming.  ...  In this regard, a number of artificial neural networks are trained to classify events according to the corresponding context established for the attack.  ...  More specifically, genetic algorithms (GA) and genetic programming (GP) have already been applied to either generate intrusion detection rules for IDS [16] or to classify attacks [17, 43] .  ... 
doi:10.1016/j.inffus.2013.04.009 fatcat:pg5lmkcoc5fkzhatdc3iluynjm

Financial Events Recognition in Web News for Algorithmic Trading [chapter]

Frederik Hogenboom
2012 Lecture Notes in Computer Science  
As news can improve the returns generated by algorithmic trading, there is a growing need to use online news information in algorithmic trading in order to react real-time to market events.  ...  The biggest challenge is to automate the recognition of financial events from Web news items as an important input next to stock prices for algorithmic trading.  ...  Acknowledgement The author is sponsored by the NWO Physical Sciences Free Competition project 612.001.009: Financial Events Recognition in News for Algorithmic Trading (FERNAT) and the Dutch national program  ... 
doi:10.1007/978-3-642-33999-8_43 fatcat:w5e5ev5mzffrzj5wol657ypuve

A generate and sense approach to automated music composition

Sunjung Kim, Elisabeth André
2004 Proceedings of the 9th international conference on Intelligent user interface - IUI '04  
single components of a composition, such as melody, harmony, rhythm and instrumentation, are selected and combined in a user-specific manner without requiring the user to continuously provide comments on  ...  To draw inferences on the user's emotional state, we employ a rule-based system that is based on empirical data and combines the observations gained from various sensors.  ...  Rhythms are represented by four 16-bit strings (one for each of the four selected instruments). A beat event is represented by 1 while 0 refers to a rest event.  ... 
doi:10.1145/964442.964501 dblp:conf/iui/KimA04 fatcat:jopswg5dofg3xl4e6ibpxpliru

THE SURVEY OF SOFT COMPUTING TECHNIQUES FOR RELIABILITY PREDICTION

Jarosław Smoczek
2015 Journal of KONES Powertrain and Transport  
This problem has been extensively studied in many scientific works, where the predictive models are based on the data-driven approaches that can be generally divided into statistical techniques (regression  ...  The paper is a survey of intelligent methods for failure prediction, and delivers the review of examples of scientific works presenting the computational intelligence-based approaches to predictive problem  ...  In [23] the prediction scheme is based on the correlation between the occurrence of a failure, previous failures and non-fatal events.  ... 
doi:10.5604/12314005.1138154 fatcat:rpenk3etgbc2dgsza6ula6otwq

From Requirements to Source Code: Evolution of Behavioral Programs

Roy Poliansky, Moshe Sipper, Achiya Elyasaf
2022 Applied Sciences  
Automatically generating executable code has a long history of arguably modest success, mostly limited to the generation of small programs of up to 200 lines of code, and genetic improvement of existing  ...  We present the use of genetic programming (GP) in conjunction with context-oriented behavioral programming (COBP), the latter being a programming paradigm with unique characteristics that facilitate automatic  ...  Genetic Operators Our design of the genetic operators is based on two observations. First, generally speaking, b-threads may be correlated in several ways.  ... 
doi:10.3390/app12031587 fatcat:u5n7u3itkvapfgade7aqtpuvem

A generate and sense approach to automated music composition

Sunjung Kim, Elisabeth André
2004 Proceedings of the 9th international conference on Intelligent user interface - IUI '04  
single components of a composition, such as melody, harmony, rhythm and instrumentation, are selected and combined in a user-specific manner without requiring the user to continuously provide comments on  ...  To draw inferences on the user's emotional state, we employ a rule-based system that is based on empirical data and combines the observations gained from various sensors.  ...  Rhythms are represented by four 16-bit strings (one for each of the four selected instruments). A beat event is represented by 1 while 0 refers to a rest event.  ... 
doi:10.1145/964482.964501 fatcat:2tuvpkrlsbafje56tbgfodp3g4

Biophysical Mind-Brain Sleep Regulation in Health and Pathology

Naisberg Yakov
2015 Journal of neurology and neurobiology  
At sleep stage IV homeostatic tuning of the overall body cells and tissues with an automatic biophysical engraving genetic program to tune the life span timing scale for every circadian cycle events. 2  ...  Human circadian cycles with daytime excitable wakeful body operational ranges (BOR) based on non-automatic velocity-increasing kinetics and nighttime inhibit the macro biophysical physiological mind operational  ...  In this manner, biophysical principles simultaneously regulate genetic programming on the biochronological aging of cells and the accommodation of genetic mutation based on homeostatic changes in cells  ... 
doi:10.16966/2379-7150.107 fatcat:mjrtnl3q2fhrpga5wfyjhe5ftu

Mining the literature for genes associated with placenta-mediated maternal diseases

Laritza M Rodriguez, Stephanie M Morrison, Kathleen Greenberg, Dina Demner Fushman
2018 AMIA Annual Symposium Proceedings  
We developed three baseline approaches to finding sentences containing this information: one based on supervised machine learning (ML) and two based on distant supervision: 1) using automated detection  ...  To facilitate automatic extraction of information about placenta-mediated disorders from the literature, we manually annotated genes and proteins, the associated diseases, and the functions and processes  ...  Table 3 . 3 Comparison of manual annotations (GS) and associations based on MeSH indexing rules for documentlevel classification MeSH-GS Category # documents Rule-based associations capture at least one  ... 
pmid:29854219 pmcid:PMC5977710 fatcat:j5ry7inw5zejtpamvt3qzceqgu

Emerging Estimation Techniques

Amrinder SinghGrewal, Vishal Gupta, Rohit Kumar
2012 International Journal of Computer Applications  
Machine learning techniques such as neural networks, rule induction, genetic algorithm and case-based reasoning are finding application in a wide variety of fields such as computer vision; cloud computing  ...  There are lots of methods are there for efforts and cost estimation, but people do not know how to use these methods.  ...  Algorithms (GA), Genetic Programming (GP), Association Rules (AR), Regression methods.  ... 
doi:10.5120/9571-4045 fatcat:yegl7atyefaejakunyu6g67nla

Automated generation of constructive ordering heuristics for educational timetabling

Nelishia Pillay, Ender Özcan
2017 Annals of Operations Research  
Genetic programming, genetic algorithms and the generation of random heuristic combinations is examined for the generation of hierarchical heuristics.  ...  Genetic programming is used to evolve arithmetic heuristics.  ...  The facilities made available by the Centre for High Performance Computing (CHPC) in South Africa and University of Nottingham High Performance Computing facility to run simulations for the experiments  ... 
doi:10.1007/s10479-017-2625-x fatcat:pv6cjixhbfeevmo4ztj36dxmli

Automatic verilog code generation through grammatical evolution

Ulya R. Karpuzcu
2005 Proceedings of the 2005 workshops on Genetic and evolutionary computation - GECCO '05  
This work aims to investigate the automatic generation of Verilog code, representing digital circuits through Grammatical Evolution (GE).  ...  Preliminary tests using a simple full adder generation problem have been performed.  ...  To overcome the mentioned problem of standard GP, GP variants such as Grammatically Based Genetic Programming [12] , Strongly Typed Genetic Programming (STGP) [3] or Derivation Tree Based Genetic Programming  ... 
doi:10.1145/1102256.1102346 dblp:conf/gecco/Karpuzcu05 fatcat:frc77fohwnfddk6or73spaxz54

Effective Rule Based Classifier using Multivariate Filter and Genetic Miner for Mammographic Image Classification

Nirase Fathima Abubacker, Azreen Azman, Masrah Azrifah Azmi Murad, Shyamala Doraisamy
2015 Research Journal of Applied Sciences Engineering and Technology  
The method discovers association rules with the classes as the consequence and classifies the images based on the Highest Average Confidence of the association rules (HAvC) matched for the classes.  ...  This study investigates the effectiveness of using rule-based classifiers with multivariate filter and genetic miner to classify mammogram images.  ...  However, one of the main challenges in using AR is the generation of a huge number of rules based on the frequent item set generated for all features.  ... 
doi:10.19026/rjaset.10.2467 fatcat:3ij4evwp55aozkentgzhrbjyx4

Guide them through: An automatic crowd control framework using multi-objective genetic programming

Nan Hu, Jinghui Zhong, Joey Tianyi Zhou, Suiping Zhou, Wentong Cai, Christopher Monterola
2018 Applied Soft Computing  
Yi Wenchao for their support and contribution to the paper.  ...  The framework consists of a simulation engine to generate crowd dynamics and an optimization system based on genetic programming.  ...  . 590 Conclusions and Future Work In this paper, we have proposed an automatic crowd control framework based on genetic programming techniques.  ... 
doi:10.1016/j.asoc.2018.01.037 fatcat:fg7xeay77va6rofchkxfslia7u

Survey of Machine Learning Techniques in Textual Document Classification

S.W. Mohod, Dr. C.A.Dhote
2014 IOSR Journal of Computer Engineering  
The importance of Machine learning approach has felt because of which the study has been taken up for text document classification based on the statistical event models available.  ...  Classification of Text Document points towards associating one or more predefined categories based on the likelihood expressed by the training set of labeled documents.  ...  Normally supervised learning techniques are used for automatic text classification, where pre-defined category labels are assigned to documents based on the likelihood suggested by a training set of labeled  ... 
doi:10.9790/0661-16131721 fatcat:cbiobxubajhc7f66jabrgvbiwm
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