formato para exponer ponencia

1. TEMA
ANOMALY DETECTION METHOD IN
COMPUTER SYSTEMS BY MEANS OF
MACHINE LEARNING

2. PONENTES
Teacher, ICT
Mention Networks.
Master Information
System audits
Master in website
management and
engineering

3. Ing. Cambiar nombre
INTRODUCTIONS
The use of automatic learning has gained importance due to his
efficacy in the evaluation of the safety, this has allowed the
inclusion of this type of learning in the majority of the
applications of recognition of bosses and mining of information,
optimizing the effects obtained with the traditional methods in
different tasks as the detection of anomalies, this because in the
world of the technology they need from updates you continue
and snapshots to support the reliability, integrity and availability
of the information of the offered services.

4. Ing. …………………….
INTRODUCTIONS
Detección de
intrusos
Aplicaciones
medicas
Análisis de
redes
Detección de
fraudes
Procesamiento
de imágenes
Anomaly detection is the identification of rare elements,
events, or observations that generate suspicion by differing
significantly from the majority of the data.

5. Ing. ………………
APPLIED STUDIES
2012
•E. De la Hoz,
Miguel, A Ortiz,
Ortega (2012)
•Intruder
detection model
2017
•Save Prajal,
Pranali, Ketan N
and
Mahyavanshi
Neha
•system that
detects fraud
2017
•N. Malini and
M. Phusha
•System to detect
abnormal
transactions
2017
• Sumaiya
Thaseen,I
krama, Aswani,
Kumar,Cheruku
ri
•Classification
algorithm in
network traffic
2018
•Zamorano Ruiz
•Comparison of
machine
learning
algorithms for
prediction
2019
•.Lopez Leyanis,
Acosta Niusvel
and Andres
Gago
•Anomaly
detection based
on deep learning
2020
•Mansoor Ahmed
Bhatti; Rabia
Riaz; Sanam
Shahla
Rizvi; Sana
Shokat; Farina
Riaz;
•outlier detection
technique

6. Ing. ………………
RESULTADOS

7. Ing. ………………
CONCLUSIONES