Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning

En la​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ actualidad el uso de sistemas y dispositivos informáticos se han vuelto parte de la rutina de la mayoría de personas, co...

Full description

Autores:
Ortiz Montes, Juan José
Hurtado Vásquez, José Manuel
Benavides Castro, Jorge Mario
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad del Norte
Repositorio:
Repositorio Uninorte
Idioma:
spa
OAI Identifier:
oai:manglar.uninorte.edu.co:10584/9883
Acceso en línea:
http://hdl.handle.net/10584/9883
Palabra clave:
Deep learning
machine learning
malware detection
ransomware.
Rights
License
Universidad del Norte
id REPOUNORT2_8b5fc18958ad423fc64eadc798de0780
oai_identifier_str oai:manglar.uninorte.edu.co:10584/9883
network_acronym_str REPOUNORT2
network_name_str Repositorio Uninorte
repository_id_str
dc.title.es_ES.fl_str_mv Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
dc.title.en_US.fl_str_mv Detection of malicious communications through Machine Learning and Deep learning
title Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
spellingShingle Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
Deep learning
machine learning
malware detection
ransomware.
title_short Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
title_full Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
title_fullStr Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
title_full_unstemmed Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
title_sort Detección de comunicaciones maliciosas a través de Machine Learning y Deep learning
dc.creator.fl_str_mv Ortiz Montes, Juan José
Hurtado Vásquez, José Manuel
Benavides Castro, Jorge Mario
dc.contributor.advisor.none.fl_str_mv Nieto, Wilson
Villanueva, Ricardo
dc.contributor.author.none.fl_str_mv Ortiz Montes, Juan José
Hurtado Vásquez, José Manuel
Benavides Castro, Jorge Mario
dc.subject.es_ES.fl_str_mv Deep learning
machine learning
malware detection
ransomware.
topic Deep learning
machine learning
malware detection
ransomware.
description En la​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ actualidad el uso de sistemas y dispositivos informáticos se han vuelto parte de la rutina de la mayoría de personas, consecuentemente parte de la información que manejamos suele hallarse en estos dispositivos pero estos se en encuentran a merced de ser infectados por un malware, que es un programa maliciosos que realiza acciones dañinas al sistema o al usuario, entre los tipos de malware que son se hallar el crypto-ransom que encripta los archivos del usuario, borra la información y luego pide dinero por la información extraída. En este proyecto se busca detectar este tipo de conexiones maliciosas a través del machine learning y deep learning​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-12-01T21:40:51Z
dc.date.available.none.fl_str_mv 2021-12-01T21:40:51Z
dc.date.issued.none.fl_str_mv 2021-11-30
dc.type.es_ES.fl_str_mv article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10584/9883
url http://hdl.handle.net/10584/9883
dc.language.iso.es_ES.fl_str_mv spa
language spa
dc.rights.es_ES.fl_str_mv Universidad del Norte
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Universidad del Norte
http://purl.org/coar/access_right/c_abf2
dc.publisher.es_ES.fl_str_mv Barranquilla, Universidad del Norte, 2021
institution Universidad del Norte
bitstream.url.fl_str_mv https://manglar.uninorte.edu.co/bitstream/10584/9883/1/Detecci%c3%b3n%20de%20conexiones%20maliciosas%20a%20trav%c3%a9s%20de%20machine%20learning%20y%20deep%20learning_%20Fichero.pdf
https://manglar.uninorte.edu.co/bitstream/10584/9883/2/Detecci%c3%b3n%20de%20conexiones%20maliciosas%20a%20trav%c3%a9s%20de%20machine%20learning%20y%20deep%20learning_%20Fichero.png
https://manglar.uninorte.edu.co/bitstream/10584/9883/3/license.txt
bitstream.checksum.fl_str_mv 38fbc590223d6ec1f0edea5b00ca4d42
e5ccf9717897025de247a9dd917b3e1f
8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Digital de la Universidad del Norte
repository.mail.fl_str_mv mauribe@uninorte.edu.co
_version_ 1828169952250560512
spelling Nieto, WilsonVillanueva, RicardoOrtiz Montes, Juan JoséHurtado Vásquez, José ManuelBenavides Castro, Jorge Mario2021-12-01T21:40:51Z2021-12-01T21:40:51Z2021-11-30http://hdl.handle.net/10584/9883En la​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ actualidad el uso de sistemas y dispositivos informáticos se han vuelto parte de la rutina de la mayoría de personas, consecuentemente parte de la información que manejamos suele hallarse en estos dispositivos pero estos se en encuentran a merced de ser infectados por un malware, que es un programa maliciosos que realiza acciones dañinas al sistema o al usuario, entre los tipos de malware que son se hallar el crypto-ransom que encripta los archivos del usuario, borra la información y luego pide dinero por la información extraída. En este proyecto se busca detectar este tipo de conexiones maliciosas a través del machine learning y deep learning​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​.Currently the use of computer systems and devices have become part of the routine of most people, consequently part of the information we handle is usually found in these devices but these are at the mercy of being infected by malware, which is a malicious program that performs harmful actions to the system or the user, among the types of malware are the crypto-ranso​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​m that encrypts user files, deletes the information and then asks for money for the extracted information.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ This project seeks to detect this type of malicious connections through machine learning and deep learning.spaBarranquilla, Universidad del Norte, 2021Universidad del Nortehttp://purl.org/coar/access_right/c_abf2Deep learningmachine learningmalware detectionransomware.Detección de comunicaciones maliciosas a través de Machine Learning y Deep learningDetection of malicious communications through Machine Learning and Deep learningarticlehttp://purl.org/coar/resource_type/c_6501ORIGINALDetección de conexiones maliciosas a través de machine learning y deep learning_ Fichero.pdfDetección de conexiones maliciosas a través de machine learning y deep learning_ Fichero.pdfArticulo principalapplication/pdf1621875https://manglar.uninorte.edu.co/bitstream/10584/9883/1/Detecci%c3%b3n%20de%20conexiones%20maliciosas%20a%20trav%c3%a9s%20de%20machine%20learning%20y%20deep%20learning_%20Fichero.pdf38fbc590223d6ec1f0edea5b00ca4d42MD51Detección de conexiones maliciosas a través de machine learning y deep learning_ Fichero.pngDetección de conexiones maliciosas a través de machine learning y deep learning_ Fichero.pngArticulo principalimage/png1847556https://manglar.uninorte.edu.co/bitstream/10584/9883/2/Detecci%c3%b3n%20de%20conexiones%20maliciosas%20a%20trav%c3%a9s%20de%20machine%20learning%20y%20deep%20learning_%20Fichero.pnge5ccf9717897025de247a9dd917b3e1fMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://manglar.uninorte.edu.co/bitstream/10584/9883/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310584/9883oai:manglar.uninorte.edu.co:10584/98832021-12-01 16:40:51.341Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.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