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Eventos Exactas @[email protected] · 2026-04-21 · 13:19 UTC

ECI N3: Exploiting and securing communication on the Internet

Pabellón Cero + Infinito, Ciudad Universitaria, Buenos Aires, Argentina, lunes, 27 de julio, 18:00 GMT-3

Profesor

Vladimír Veselý

@[email protected]

Turno

Noche (18:00 a 21:00)

Idioma

Inglés

Descripción

During the course, participants will learn about the basic principles of computer communication security. We will explain how authentication, confidentiality and integrity are achieved using various cryptographic techniques (e.g. MD5, SHA, AES and RSA). Next, participants will learn how to communicate securely on the web, send emails and connect to WiFi networks. Furthermore, we will demonstrate the security vulnerabilities in these scenarios using freely available hacking tools.

Programa del curso

* Monday: Computer Networking and Security 101
* Tuesday: TLS/SSL and exploiting HTTP
* Wednesday: Exploiting DNS and SMTP
* Thursday: Exploiting DHCP and Wi-Fi
* Friday: Exploiting Wi-Fi and conducting MitM

https://cartelera.inexactas.ar/event/eci-n3-exploiting-and-securing-communication-on-the-internet

#vladimirvesely #vutbr #ciudaduniversitariabuenosaires #ciudaduniversitariauba #computerscience #fitbutbrno

Eventos Exactas @[email protected] · 2026-04-21 · 05:25 UTC

ECI N3: Exploiting and securing communication on the Internet

Pabellón Cero + Infinito, Ciudad Universitaria, Buenos Aires, Argentina, lunes, 27 de julio, 18:00 GMT-3

Profesor

Vladimír Veselý

@[email protected]

Turno

Noche (18:00 a 21:00)

Idioma

Inglés

Descripción

During the course, participants will learn about the basic principles of computer communication security. We will explain how authentication, confidentiality and integrity are achieved using various cryptographic techniques (e.g. MD5, SHA, AES and RSA). Next, participants will learn how to communicate securely on the web, send emails and connect to WiFi networks. Furthermore, we will demonstrate the security vulnerabilities in these scenarios using freely available hacking tools.

Programa del curso

* Monday: Computer Networking and Security 101
* Tuesday: TLS/SSL and exploiting HTTP
* Wednesday: Exploiting DNS and SMTP
* Thursday: Exploiting DHCP and Wi-Fi
* Friday: Exploiting Wi-Fi and conducting MitM

https://cartelera.inexactas.ar/event/eci-n3-exploiting-and-securing-communication-on-the-internet

#exactasuba #argentina #fcenuba #computacionuba #eci #ecidcuba

Franco Pyrih @[email protected] · 2025-12-14 · 13:33 UTC

# Lunes 15/12 14hs - Seminario “Gathering Threat Intelligence from Encrypted Network Traffic” Prof. Ondřej Ryšavý, Brno University of Technology (BUT), República Checa.

Tenemos el agrado de invitarlos a la charla que brindará el Prof. Ondřej Ryšavý que nos visita desde la Brno University of Technology (BUT) de la República Checa.

Esta visita se da en el marco de una cooperación activa entre BUT y el DC/ICC en temas de seguridad informática (aunque no exclusivamente), con lo cual este seminario es también una oportunidad para aquellos investigadores, docentes y alumnos que deseen sumarse a las iniciativas en curso.

🗓 lunes 15 de diciembre

🕑 14:00 hs.

📍 Sala 1606, Pabellón 0+infinito, Ciudad Universitaria, Buenos Aires, Argentina. geo:-34.54396,-58.44038?z=16

🌐 Idioma: Inglés.

Título: Gathering Threat Intelligence from Encrypted Network Traffic

Abstract: Encrypted communication now dominates network environments, reducing the visibility of defenders and demanding new approaches that derive security intelligence without decrypting content. This presentation unifies three complementary research directions into a single, end-to-end framework for threat identification, behavior profiling, and malware attribution.

First, it introduces a privacy-preserving methodology for latent behavior modeling of TLS traffic. This methodology uses autoencoder-based profiling, extended flow-level metadata, and federated learning for distributed training across sites. The results demonstrate that encrypted traffic can be characterized statistically and semantically without access to the payload, enabling scalable anomaly detection while reducing the risk of data exposure. The second part focuses on threat detection through IoC-driven context enrichment. In this approach, Indicators of Activity (IoAs) extracted from hosts are matched against fuzzy IoC sets derived from malware. This enables family-level correlation, threshold-based scoring, and experimentation in semi-controlled infected environments. Lastly, the presentation explores JA3/JA4+ TLS fingerprinting as a higher-resolution layer for application and malware discrimination. An experimental evaluation using sandbox-generated datasets reveals patterns of uniqueness, coverage, and collisions across multiple malware families and benign applications. This demonstrates how fingerprinting can facilitate attribution and classification in encrypted networks.

Short Bio:
Ondřej Ryšavý is an associate professor at Brno University of Technology who specializes in network security monitoring, threat intelligence, and digital forensics. His research focuses on advanced methods for analyzing network telemetry, detecting cyber threats in encrypted traffic, and enhancing forensic readiness in modern infrastructures. He has served as both a principal and co-investigator on numerous international and national research initiatives, contributing to the development of innovative cybersecurity tools, threat hunting methodologies, and privacy-aware analytics

#FITVUT #FITBUT #VUTBrno #FITVUTBrno #FITBUTBrno #ThreatIntelligence #SeguridadInformática #NetworkIntelligence #NetworkSecurity #cybersecurity #ThreatHunting #UBA #DCUBA #ICCUBA #DCFCENUBA #FCENUBA #ComputaciónUBA #ICCFCENUBA #inteligencia #InteligenciaDeAmenazas #BuenosAires #Argentina #CiudadUniversitariaUBA #CiudadUniversitariaBuenosAires #seminario #charla #cooperaciónInternacional #investigación #CienciasDeLaComputación #ComputerScience

#fitvut #fitbut #vutbrno #fitvutbrno #fitbutbrno #threatintelligence

Franco Pyrih @[email protected] · 2025-12-14 · 13:33 UTC

# Lunes 15/12 14hs - Seminario “Gathering Threat Intelligence from Encrypted Network Traffic” Prof. Ondřej Ryšavý, Brno University of Technology (BUT), República Checa.

Tenemos el agrado de invitarlos a la charla que brindará el Prof. Ondřej Ryšavý que nos visita desde la Brno University of Technology (BUT) de la República Checa.

Esta visita se da en el marco de una cooperación activa entre BUT y el DC/ICC en temas de seguridad informática (aunque no exclusivamente), con lo cual este seminario es también una oportunidad para aquellos investigadores, docentes y alumnos que deseen sumarse a las iniciativas en curso.

🗓 lunes 15 de diciembre

🕑 14:00 hs.

📍 Sala 1606, Pabellón 0+infinito, Ciudad Universitaria, Buenos Aires, Argentina. geo:-34.54396,-58.44038?z=16

🌐 Idioma: Inglés.

Título: Gathering Threat Intelligence from Encrypted Network Traffic

Abstract: Encrypted communication now dominates network environments, reducing the visibility of defenders and demanding new approaches that derive security intelligence without decrypting content. This presentation unifies three complementary research directions into a single, end-to-end framework for threat identification, behavior profiling, and malware attribution.

First, it introduces a privacy-preserving methodology for latent behavior modeling of TLS traffic. This methodology uses autoencoder-based profiling, extended flow-level metadata, and federated learning for distributed training across sites. The results demonstrate that encrypted traffic can be characterized statistically and semantically without access to the payload, enabling scalable anomaly detection while reducing the risk of data exposure. The second part focuses on threat detection through IoC-driven context enrichment. In this approach, Indicators of Activity (IoAs) extracted from hosts are matched against fuzzy IoC sets derived from malware. This enables family-level correlation, threshold-based scoring, and experimentation in semi-controlled infected environments. Lastly, the presentation explores JA3/JA4+ TLS fingerprinting as a higher-resolution layer for application and malware discrimination. An experimental evaluation using sandbox-generated datasets reveals patterns of uniqueness, coverage, and collisions across multiple malware families and benign applications. This demonstrates how fingerprinting can facilitate attribution and classification in encrypted networks.

Short Bio:
Ondřej Ryšavý is an associate professor at Brno University of Technology who specializes in network security monitoring, threat intelligence, and digital forensics. His research focuses on advanced methods for analyzing network telemetry, detecting cyber threats in encrypted traffic, and enhancing forensic readiness in modern infrastructures. He has served as both a principal and co-investigator on numerous international and national research initiatives, contributing to the development of innovative cybersecurity tools, threat hunting methodologies, and privacy-aware analytics

#FITVUT #FITBUT #VUTBrno #FITVUTBrno #FITBUTBrno #ThreatIntelligence #SeguridadInformática #NetworkIntelligence #NetworkSecurity #cybersecurity #ThreatHunting #UBA #DCUBA #ICCUBA #DCFCENUBA #FCENUBA #ComputaciónUBA #ICCFCENUBA #inteligencia #InteligenciaDeAmenazas #BuenosAires #Argentina #CiudadUniversitariaUBA #CiudadUniversitariaBuenosAires #seminario #charla #cooperaciónInternacional #investigación #CienciasDeLaComputación #ComputerScience

#fitvut #fitbut #vutbrno #fitvutbrno #fitbutbrno #threatintelligence

Franco Pyrih @[email protected] · 2025-12-14 · 13:33 UTC

# Lunes 15/12 14hs - Seminario “Gathering Threat Intelligence from Encrypted Network Traffic” Prof. Ondřej Ryšavý, Brno University of Technology (BUT), República Checa.

Tenemos el agrado de invitarlos a la charla que brindará el Prof. Ondřej Ryšavý que nos visita desde la Brno University of Technology (BUT) de la República Checa.

Esta visita se da en el marco de una cooperación activa entre BUT y el DC/ICC en temas de seguridad informática (aunque no exclusivamente), con lo cual este seminario es también una oportunidad para aquellos investigadores, docentes y alumnos que deseen sumarse a las iniciativas en curso.

🗓 lunes 15 de diciembre

🕑 14:00 hs.

📍 Sala 1606, Pabellón 0+infinito, Ciudad Universitaria, Buenos Aires, Argentina. geo:-34.54396,-58.44038?z=16

🌐 Idioma: Inglés.

Título: Gathering Threat Intelligence from Encrypted Network Traffic

Abstract: Encrypted communication now dominates network environments, reducing the visibility of defenders and demanding new approaches that derive security intelligence without decrypting content. This presentation unifies three complementary research directions into a single, end-to-end framework for threat identification, behavior profiling, and malware attribution.

First, it introduces a privacy-preserving methodology for latent behavior modeling of TLS traffic. This methodology uses autoencoder-based profiling, extended flow-level metadata, and federated learning for distributed training across sites. The results demonstrate that encrypted traffic can be characterized statistically and semantically without access to the payload, enabling scalable anomaly detection while reducing the risk of data exposure. The second part focuses on threat detection through IoC-driven context enrichment. In this approach, Indicators of Activity (IoAs) extracted from hosts are matched against fuzzy IoC sets derived from malware. This enables family-level correlation, threshold-based scoring, and experimentation in semi-controlled infected environments. Lastly, the presentation explores JA3/JA4+ TLS fingerprinting as a higher-resolution layer for application and malware discrimination. An experimental evaluation using sandbox-generated datasets reveals patterns of uniqueness, coverage, and collisions across multiple malware families and benign applications. This demonstrates how fingerprinting can facilitate attribution and classification in encrypted networks.

Short Bio:
Ondřej Ryšavý is an associate professor at Brno University of Technology who specializes in network security monitoring, threat intelligence, and digital forensics. His research focuses on advanced methods for analyzing network telemetry, detecting cyber threats in encrypted traffic, and enhancing forensic readiness in modern infrastructures. He has served as both a principal and co-investigator on numerous international and national research initiatives, contributing to the development of innovative cybersecurity tools, threat hunting methodologies, and privacy-aware analytics

#FITVUT #FITBUT #VUTBrno #FITVUTBrno #FITBUTBrno #ThreatIntelligence #SeguridadInformática #NetworkIntelligence #NetworkSecurity #cybersecurity #ThreatHunting #UBA #DCUBA #ICCUBA #DCFCENUBA #FCENUBA #ComputaciónUBA #ICCFCENUBA #inteligencia #InteligenciaDeAmenazas #BuenosAires #Argentina #CiudadUniversitariaUBA #CiudadUniversitariaBuenosAires #seminario #charla #cooperaciónInternacional #investigación #CienciasDeLaComputación #ComputerScience

#fitvut #fitbut #vutbrno #fitvutbrno #fitbutbrno #threatintelligence

Franco Pyrih @[email protected] · 2025-12-14 · 13:33 UTC

# Lunes 15/12 14hs - Seminario “Gathering Threat Intelligence from Encrypted Network Traffic” Prof. Ondřej Ryšavý, Brno University of Technology (BUT), República Checa.

Tenemos el agrado de invitarlos a la charla que brindará el Prof. Ondřej Ryšavý que nos visita desde la Brno University of Technology (BUT) de la República Checa.

Esta visita se da en el marco de una cooperación activa entre BUT y el DC/ICC en temas de seguridad informática (aunque no exclusivamente), con lo cual este seminario es también una oportunidad para aquellos investigadores, docentes y alumnos que deseen sumarse a las iniciativas en curso.

🗓 lunes 15 de diciembre

🕑 14:00 hs.

📍 Sala 1606, Pabellón 0+infinito, Ciudad Universitaria, Buenos Aires, Argentina. geo:-34.54396,-58.44038?z=16

🌐 Idioma: Inglés.

Título: Gathering Threat Intelligence from Encrypted Network Traffic

Abstract: Encrypted communication now dominates network environments, reducing the visibility of defenders and demanding new approaches that derive security intelligence without decrypting content. This presentation unifies three complementary research directions into a single, end-to-end framework for threat identification, behavior profiling, and malware attribution.

First, it introduces a privacy-preserving methodology for latent behavior modeling of TLS traffic. This methodology uses autoencoder-based profiling, extended flow-level metadata, and federated learning for distributed training across sites. The results demonstrate that encrypted traffic can be characterized statistically and semantically without access to the payload, enabling scalable anomaly detection while reducing the risk of data exposure. The second part focuses on threat detection through IoC-driven context enrichment. In this approach, Indicators of Activity (IoAs) extracted from hosts are matched against fuzzy IoC sets derived from malware. This enables family-level correlation, threshold-based scoring, and experimentation in semi-controlled infected environments. Lastly, the presentation explores JA3/JA4+ TLS fingerprinting as a higher-resolution layer for application and malware discrimination. An experimental evaluation using sandbox-generated datasets reveals patterns of uniqueness, coverage, and collisions across multiple malware families and benign applications. This demonstrates how fingerprinting can facilitate attribution and classification in encrypted networks.

Short Bio:
Ondřej Ryšavý is an associate professor at Brno University of Technology who specializes in network security monitoring, threat intelligence, and digital forensics. His research focuses on advanced methods for analyzing network telemetry, detecting cyber threats in encrypted traffic, and enhancing forensic readiness in modern infrastructures. He has served as both a principal and co-investigator on numerous international and national research initiatives, contributing to the development of innovative cybersecurity tools, threat hunting methodologies, and privacy-aware analytics

#FITVUT #FITBUT #VUTBrno #FITVUTBrno #FITBUTBrno #ThreatIntelligence #SeguridadInformática #NetworkIntelligence #NetworkSecurity #cybersecurity #ThreatHunting #UBA #DCUBA #ICCUBA #DCFCENUBA #FCENUBA #ComputaciónUBA #ICCFCENUBA #inteligencia #InteligenciaDeAmenazas #BuenosAires #Argentina #CiudadUniversitariaUBA #CiudadUniversitariaBuenosAires #seminario #charla #cooperaciónInternacional #investigación #CienciasDeLaComputación #ComputerScience

#computerscience #cienciasdelacomputacion #iccfcenuba #investigacion #cooperacioninternacional #charla

Franco Pyrih @[email protected] · 2025-12-14 · 13:33 UTC

# Lunes 15/12 14hs - Seminario “Gathering Threat Intelligence from Encrypted Network Traffic” Prof. Ondřej Ryšavý, Brno University of Technology (BUT), República Checa.

Tenemos el agrado de invitarlos a la charla que brindará el Prof. Ondřej Ryšavý que nos visita desde la Brno University of Technology (BUT) de la República Checa.

Esta visita se da en el marco de una cooperación activa entre BUT y el DC/ICC en temas de seguridad informática (aunque no exclusivamente), con lo cual este seminario es también una oportunidad para aquellos investigadores, docentes y alumnos que deseen sumarse a las iniciativas en curso.

🗓 lunes 15 de diciembre

🕑 14:00 hs.

📍 Sala 1606, Pabellón 0+infinito, Ciudad Universitaria, Buenos Aires, Argentina. geo:-34.54396,-58.44038?z=16

🌐 Idioma: Inglés.

Título: Gathering Threat Intelligence from Encrypted Network Traffic

Abstract: Encrypted communication now dominates network environments, reducing the visibility of defenders and demanding new approaches that derive security intelligence without decrypting content. This presentation unifies three complementary research directions into a single, end-to-end framework for threat identification, behavior profiling, and malware attribution.

First, it introduces a privacy-preserving methodology for latent behavior modeling of TLS traffic. This methodology uses autoencoder-based profiling, extended flow-level metadata, and federated learning for distributed training across sites. The results demonstrate that encrypted traffic can be characterized statistically and semantically without access to the payload, enabling scalable anomaly detection while reducing the risk of data exposure. The second part focuses on threat detection through IoC-driven context enrichment. In this approach, Indicators of Activity (IoAs) extracted from hosts are matched against fuzzy IoC sets derived from malware. This enables family-level correlation, threshold-based scoring, and experimentation in semi-controlled infected environments. Lastly, the presentation explores JA3/JA4+ TLS fingerprinting as a higher-resolution layer for application and malware discrimination. An experimental evaluation using sandbox-generated datasets reveals patterns of uniqueness, coverage, and collisions across multiple malware families and benign applications. This demonstrates how fingerprinting can facilitate attribution and classification in encrypted networks.

Short Bio:
Ondřej Ryšavý is an associate professor at Brno University of Technology who specializes in network security monitoring, threat intelligence, and digital forensics. His research focuses on advanced methods for analyzing network telemetry, detecting cyber threats in encrypted traffic, and enhancing forensic readiness in modern infrastructures. He has served as both a principal and co-investigator on numerous international and national research initiatives, contributing to the development of innovative cybersecurity tools, threat hunting methodologies, and privacy-aware analytics

#FITVUT #FITBUT #VUTBrno #FITVUTBrno #FITBUTBrno #ThreatIntelligence #SeguridadInformática #NetworkIntelligence #NetworkSecurity #cybersecurity #ThreatHunting #UBA #DCUBA #ICCUBA #DCFCENUBA #FCENUBA #ComputaciónUBA #ICCFCENUBA #inteligencia #InteligenciaDeAmenazas #BuenosAires #Argentina #CiudadUniversitariaUBA #CiudadUniversitariaBuenosAires #seminario #charla #cooperaciónInternacional #investigación #CienciasDeLaComputación #ComputerScience

#fitvut #fitbut #vutbrno #fitvutbrno #fitbutbrno #threatintelligence

Franco Pyrih @[email protected] · 2025-05-08 · 18:23 UTC

Reenvío información sobre cursos intensivos de #Computación en la #UBA

> Escuela de Ciencias Informáticas
> 28 de julio al 1 de agosto

> Ya está confirmado el Programa completo de cursos. Cada curso tiene una duración de 15 horas reloj en total (3 horas por día, de lunes a viernes). La inscripción a cursos se abrirá el 9 de junio y se cerrará el 4 de julio para estudiantes de #Exactas-UBA y el 18 de julio para público general.

> TURNO MAÑANA: 9 A 12
> M1: Análisis Probabilístico de Algoritmos
> M2: The Evolution of Blockchain Technologies
> M3: Modelos generativos de imágenes basados en redes profundas

> TURNO TARDE: 13:30 A 16:30
> T1: Interactive theorem provers: theory and practice
> T2: Introducción a la computación cuántica
> T3: Procesamiento de imágenes con aplicación a la biomedicina

> TURNO NOCHE: 18 a 21
> N1: Introduction to Column Generation and VRPSolver
> N2: De la planificación no determinista a la síntesis y planificación generalizada
> N3: AI for Immersive Technologies: Enhancing Virtual and Augmented Realities

> Se otorgará certificado de asistencia concurriendo al 80% de las clases. El certificado de aprobación estará sujeto a una evaluación final cuya modalidad es elegida por cada profesor y se informa al comienzo de cada curso.

> Gracias al apoyo de nuestros auspiciantes, la ECI ofrece Becas de ayuda económica para estudiantes de universidad nacionales y de países limítrofes, que residan a más de 100 kms de la Ciudad de Buenos Aires. Estas becas son fundamentales para financiar los gastos de traslado para estudiantes que deseen asistir a los cursos que dicta la Escuela. La convocatoria estará abierta desde el 19 de mayo al 2 de junio.

> La información sobre cursos, inscripción, becas y otras actividades se actualizará, a medida que esté disponible, en el sitio web: http://www.dc.uba.ar/eci

#ComputaciónUBA #CienciasInformáticas #CienciasDeLaComputación #CABA #Argentina #BuenosAires #AMBA #AnálisisProbabilístico #Blockchain #ModelosGenerativos #TheoremProvers #ComputaciónCuántica #ProcesamientoDeImágenes #biomedicina #ColumnGeneration #PlanificaciónNoDeterminista #PlanificaciónGeneralizada
#ImmersiveTechnologies

#computacion #uba #exactas #computacionuba #cienciasinformaticas #caba